Reddit has been volatile in its first few weeks of trading as the stock searches for equilibrium, but one analyst thinks it has more upside from here. In fact, Deutsche Bank just initiated coverage on the stock with a buy rating and a price target of $50.

Reddit Stock Has 22% Upside, According to 1 Wall Street Analyst @themotleyfool #stocks $RDDT

Reddit and Quora results are ranking higher than ever in Google search. Google says it&#x27;s simply giving users what they want.

It's not just you: Reddit is taking over Google

It&#x27;s a big year for Reddit. After its IPO, the platform is planning a slew of product features for the year ahead, and -- spoiler alert -- most of them

Reddit CPO talks new features — better translations, moderation and dev tools | TechCrunch

Binghamton volunteers are coming together to clean up city streets after seeing a post on online forum Reddit.

A Reddit post sparked a community clean-up effort in Binghamton. Here's how you can help

834K Followers, 177 Following, 2,669 Posts - See Instagram photos and videos from Reddit (@reddit)

Reddit | Do you cuddle with your parents? [Link in bio]

Reddit Stock Has 22% Upside, According to 1 Wall Street Analyst

Get the most recent info and news about Reddit on HackerNoon, where 10k+ technologists publish stories for 4M+ monthly readers.

Reddit is a network of more than 100,000 communities where people can dive into anything through experiences built around their interests, hobbies and passions. Reddit users submit, vote and comment on content, stories and discussions about the topics they care about the most. From pets to parenting, there’s a community for everybody on Reddit. Interested in joining our growing team? Check out redditinc.com/careers

Reddit

Tearing down Reddit’s iOS application - Insights on APIs, Performance, Security, and A/B Experiments

Rušení aplikace Reddit pro iOS – statistiky o API, výkonu, zabezpečení a experimentech A/B

Desmantelando la aplicación iOS de Reddit: información sobre API, rendimiento, seguridad y experimentos A/B

از بین بردن برنامه iOS Reddit - اطلاعات بینش در مورد API ها، عملکرد، امنیت و آزمایش های A/B

Démantèlement de l'application iOS de Reddit - Informations sur les API, les performances, la sécurité et les expériences A/B

Reddit の iOS アプリケーションを分解 - API、パフォーマンス、セキュリティ、A/B 実験に関する洞察

Reddit को आईओएस अनुप्रयोग च्यात्दै - APIs, प्रदर्शन, सुरक्षा, र A/B प्रयोगहरूमा अन्तर्दृष्टिहरू

Go phušola tirišo ya iOS ya Reddit’s - Ditemogo ka ga di-API, Tiragatšo, Tšhireletšo, le Diteko tša A/B

Reddit හි iOS යෙදුම ඉරා දැමීම - APIs, කාර්ය සාධනය, ආරක්ෂාව සහ A/B අත්හදා බැලීම් පිළිබඳ තීක්ෂ්ණ බුද්ධිය

Prishja e aplikacionit iOS të Reddit - Vështrime mbi API-të, performancën, sigurinë dhe eksperimentet A/B

Рушење Реддит-ове иОС апликације – Увид у АПИ-је, перформансе, безбедност и А/Б експерименте

Reddit இன் iOS பயன்பாட்டைக் கிழித்தல் - APIகள், செயல்திறன், பாதுகாப்பு மற்றும் A/B சோதனைகள் பற்றிய நுண்ணறிவு

Ukudiliza uhlelo lokusebenza lwe-iOS ye-Reddit - Imininingwane Ngama-API, Ukusebenza, Ukuphepha, kanye Nokuhlolwa kwe-A/B

The Reddit Paradox: How AI is Driving Users Back to the Internet’s Most Un-AI Misfit 

የ Reddit ፓራዶክስ፡ AI እንዴት ተጠቃሚዎችን ወደ በይነመረብ በጣም የአይ-አይ ሚስጢት ይመለስላቸዋል። 

Reddit Paradoksu: Süni intellekt istifadəçiləri İnternetin ən qeyri-AI uyğunsuzluğuna necə qaytarır 

Парадокс Reddit: як штучны інтэлект вяртае карыстальнікаў да самых непрыдатных у Інтэрнэце людзей 

Το παράδοξο του Reddit: Πώς η τεχνητή νοημοσύνη οδηγεί τους χρήστες πίσω στο Διαδίκτυο που δεν ταιριάζει με την τεχνητή νοημοσύνη 

La paradoja de Reddit: cómo la IA está haciendo que los usuarios vuelvan a Internet sin la IA adecuada

रेडिट विरोधाभास: कैसे AI उपयोगकर्ताओं को इंटरनेट के सबसे अन-AI मिसफिट की ओर वापस ले जा रहा है

Paradoks Reddita: Kako umjetna inteligencija tjera korisnike natrag u najneprilagođeniju umjetnu inteligenciju na internetu 

Reddit のパラドックス: AI がいかにしてユーザーをインターネットの最も AI に適さない場所へと引き戻しているのか

Reddit 역설: AI가 사용자를 인터넷의 가장 AI에 맞지 않는 곳으로 되돌리는 방식

O paradoxo do Reddit: como a IA está levando os usuários de volta à Internet O desajustado mais anti-IA

Kitendawili cha Reddit: Jinsi AI Inawarudisha Watumiaji kwenye Misfit ya Mtandaoni ya Un-AI 

Парадокс Reddit: як штучний інтелект повертає користувачів до найбільш непридатного для ШІ Інтернету 

Getting your first 100 users isn't easy. Here's how I do it with Reddit, where most people don’t care about your products and hate advertising Sitting in our office (a fancy word for our favorite coffee shop), I mumble, “I thought I would do A/B testing and analysis!?” Man, was I naive! Where do you find the data to do that when the only people who know about your app are four dudes you have hung out with since high school? After devouring almost everything I could about growth for early startups, I realized the solution: Do things that don’t scale. And the first channel: Reddit! “It’s gonna be an easy game.” I thought, 'It's going to be easy because I built my TikTok channel from 0 to 2x thousands of followers. I will have hundreds of sign-ups in just three days.” Right? Over the next few weeks, I immersed myself in Reddit, exploring every possible subreddit related to my industry (notetaking), and did two things: Write heartfelt posts about why I built my product, its features, and how it will help users.


Reply to comments as quickly as possible to build momentum and generate buzz. It seemed easy as I sat sipping my coffee and typing away. I had dozens of subreddits to explore and hours to spare. Plus, my product vision is superb – who wouldn’t want to try it? It was a no-brainer. Within a few hours, I had already posted dozens of posts and comments. I noticed that my Reddit notifications were blowing up – I must be doing a good job. Ha ha ha. “Uhmm, I don’t expect this” As I opened those notifications, I geared up to respond to the enthusiastic comments from my beloved early adopters. But, surprise, surprise, by being a dedicated “advertiser,” I found myself banned from some of the biggest relevant subreddits. Not only that, but I received a barrage of downvotes for what seemed like explicit advertising! “No worries,” I reassured myself, “it's just some outliers.” However, as days passed, it dawned on me: the outlier was me. With early responses branding me as a scam, I couldn’t help but smile wryly and wonder, “Why do I have to go through this? Is it even worth it when you receive so much criticism?” When hundreds of people are downvoting your every move, such thoughts inevitably arise. I contemplated shifting focus to another channel, convincing myself that Reddit simply didn’t align with my product— “Focus on the Channel Product Fit,” I said The Change But fortunately, I didn’t take that route. Instead, I resolved to make it work. I delved deeper into what resonated with Reddit and what didn’t. I realized that to succeed in this channel would take blood, sweat, and tears. I then opted for a more subtle approach: Write an added post; mention your product only when allowed to.
Instead of writing a post, find a post where people are looking for solutions that are relevant to you.
DM people looking for those tools And I was relentless. Every post, every person—I reached out to them all. Yes, I mean every single one. I still stored the hundreds of post links and the people I DM’d back then. It wasn’t a scalable approach, but it was what I needed to do to get the word out when I was just starting out. How to be good at this? I’m still learning, but the key is: Don’t explicitly advertise unless permitted.
When DM, instead of directly selling, ask about their problems to determine if your products are relevant.
Relevancy is crucial; seek out relevant individuals, subreddits, and posts.
How do I find them? I typed every relevant keyword in the chat and joined any relevant subs from the search. After putting in a lot of effort, I finally managed to make some headway for my product on Reddit. I accumulated hundreds of thousands of views, attracted initial users, and continue to receive a decent number of referrals from Reddit every day. So, there you have it – how I find customers via Reddit. Next up, LinkedIn – Hm, wait a second, was I just scolded? Getting your first 100 users isn't easy. Here's how I do it with Reddit, where most people don’t care about your products and hate advertising Sitting in our office (a fancy word for our favorite coffee shop), I mumble, “I thought I would do A/B testing and analysis!?” Man, was I naive! Where do you find the data to do that when the only people who know about your app are four dudes you have hung out with since high school? After devouring almost everything I could about growth for early startups, I realized the solution: Do things that don’t scale. And the first channel: Reddit! “It’s gonna be an easy game.” I thought, 'It's going to be easy because I built my TikTok channel from 0 to 2x thousands of followers. I will have hundreds of sign-ups in just three days.” Right? Over the next few weeks, I immersed myself in Reddit, exploring every possible subreddit related to my industry (notetaking), and did two things: Write heartfelt posts about why I built my product, its features, and how it will help users. Reply to comments as quickly as possible to build momentum and generate buzz. Write heartfelt posts about why I built my product, its features, and how it will help users. Write heartfelt posts about why I built my product, its features, and how it will help users. Write heartfelt posts Reply to comments as quickly as possible to build momentum and generate buzz. Reply to comments as quickly as possible to build momentum and generate buzz. Reply to comments It seemed easy as I sat sipping my coffee and typing away. I had dozens of subreddits to explore and hours to spare. Plus, my product vision is superb – who wouldn’t want to try it? It was a no-brainer. Within a few hours, I had already posted dozens of posts and comments. I noticed that my Reddit notifications were blowing up – I must be doing a good job. Ha ha ha. “Uhmm, I don’t expect this” As I opened those notifications, I geared up to respond to the enthusiastic comments from my beloved early adopters. But, surprise, surprise, by being a dedicated “advertiser,” I found myself banned from some of the biggest relevant subreddits. Not only that, but I received a barrage of downvotes for what seemed like explicit advertising! banned “No worries,” I reassured myself, “it's just some outliers.” However, as days passed, it dawned on me: the outlier was me. With early responses branding me as a scam, I couldn’t help but smile wryly and wonder, “Why do I have to go through this? Is it even worth it when you receive so much criticism?” When hundreds of people are downvoting your every move, such thoughts inevitably arise. I contemplated shifting focus to another channel, convincing myself that Reddit simply didn’t align with my product— “Focus on the Channel Product Fit,” I said The Change But fortunately, I didn’t take that route. Instead, I resolved to make it work. I delved deeper into what resonated with Reddit and what didn’t. I realized that to succeed in this channel would take blood, sweat, and tears. I then opted for a more subtle approach: subtle approach: Write an added post; mention your product only when allowed to. Instead of writing a post, find a post where people are looking for solutions that are relevant to you. DM people looking for those tools Write an added post; mention your product only when allowed to. Instead of writing a post, find a post where people are looking for solutions that are relevant to you. DM people looking for those tools And I was relentless. Every post, every person—I reached out to them all. Yes, I mean every single one. I still stored the hundreds of post links and the people I DM’d back then. It wasn’t a scalable approach, but it was what I needed to do to get the word out when I was just starting out. How to be good at this? I’m still learning, but the key is: How to be good at this? Don’t explicitly advertise unless permitted. When DM, instead of directly selling, ask about their problems to determine if your products are relevant. Relevancy is crucial; seek out relevant individuals, subreddits, and posts. How do I find them? I typed every relevant keyword in the chat and joined any relevant subs from the search. Don’t explicitly advertise unless permitted. When DM, instead of directly selling, ask about their problems to determine if your products are relevant. Relevancy is crucial; seek out relevant individuals, subreddits, and posts. How do I find them? I typed every relevant keyword in the chat and joined any relevant subs from the search. After putting in a lot of effort, I finally managed to make some headway for my product on Reddit. I accumulated hundreds of thousands of views, attracted initial users, and continue to receive a decent number of referrals from Reddit every day. So, there you have it – how I find customers via Reddit. Next up, LinkedIn – Hm, wait a second, was I just scolded? LinkedIn – Hm, wait a second, was I just scolded?

How Do You Acquire Customers as a Startup? Well, I Got My First 100 Via Reddit

আপনি কিভাবে একটি স্টার্টআপ হিসাবে গ্রাহকদের অর্জন করবেন? ঠিক আছে, আমি রেডডিটের মাধ্যমে আমার প্রথম 100 পেয়েছি

Wie gewinnt man als Startup Kunden? Meine ersten 100 habe ich über Reddit bekommen

¿Cómo se consiguen clientes como startup? Bueno, obtuve mis primeros 100 a través de Reddit

Comment acquérir des clients en tant que startup ? Eh bien, j'ai eu mes 100 premiers via Reddit

स्टार्टअप के तौर पर आप ग्राहक कैसे जुटाते हैं? खैर, मुझे रेडिट के ज़रिए अपने पहले 100 ग्राहक मिले

スタートアップとして顧客を獲得するにはどうすればいいでしょうか？私の場合、最初の100人の顧客はReddit経由で獲得しました

스타트업으로서 고객을 어떻게 확보하나요? 음, Reddit을 통해 처음으로 100개를 얻었습니다.

Como você conquista clientes como uma startup? Bem, consegui meus primeiros 100 via Reddit

Как привлечь клиентов в стартапе? Ну, я получил свои первые 100 через Reddit

Bir Startup Olarak Müşterileri Nasıl Kazanırsınız? İlk 100'ümü Reddit'ten Aldım

Làm thế nào để bạn có được khách hàng khi mới khởi nghiệp? Chà, tôi đã đạt được 100 đô la đầu tiên thông qua Reddit

作为一家初创公司，你如何获取客户？好吧，我通过 Reddit 获得了我的第一个 100 个客户

Reddit has implemented a new controversial API pricing plan that has killed many of the social media site’s best , Plenty of people are starting an exodus from the social media platform in search of greener . clients pastures There are now multiple different apps competing to cater to those who are looking for decent Reddit alternatives, and with this article, you can hopefully see three Reddit alternatives to try if you wish to make an exodus from the site or are simply curious to see what else is out there in terms of social aggregate sites. Squabbles One of those very interesting alternatives is a website by the name of that behaves like a combination of Reddit and Twitter as applications all rolled into one - something that might make both former Twitter users and lovers of Reddit enjoy this new kid on the block more than the older big tech websites they came from. Squabbles Squabbles.io is a new platform, and it is still in its infancy which means it has fewer users than Reddit currently, but there is a benefit due to its small size: the owners of Squabbles are more willing to listen to feedback from users than the larger sites. The developers behind this site are very willing to listen to community feedback and are actively working to improve the platform. On top of that, Squabbles has mobile apps that you can use on Android or iOS. You have - an early access app that you can use whether you are an Android user or somebody who has an iPhone. already Pulse You also have for Android only and for iOS only, so there are plenty of different options available! Tiff Calipso Many people, even those on , have liked Squabbles, and the only cons really seem to be how small the community currently is (so do not expect to get as many likes as you would on the average Reddit posts), and the fact that most of its mobile apps are in the early stages. Other than that, Squabbles is pretty viable! Reddit Lemmy Instead of being a single website connected by a single server farm and service, Lemmy is interesting in the fact that it is a federated network made from dozens of different instances and servers in a decentralized manner similar to Mastodon. This provides the benefit that Lemmy has a series of servers that integrate with one another (a practice that is known as federating), and this means that different moderation practices and default sets exist for each of the Lemmy communities. So, you can easily find a unique community with moderation practices and rules that you are comfortable with. You can join communities from various servers and interact with people. One of the main , lemmy.world, has an interface that is a mix of old reddit.com and the modern Reddit style without ads, so all of those are pros for many people. servers The only issues for the site are that Lemmy has a smaller community than Reddit, and it is described as being more difficult to join than signing up for traditional websites. However, just like with the other Reddit alternatives, these issues can potentially be improved in the future. Beehaw , there is a relatively new and small alternative that has some pretty nice content. The interface is described by Techradar as being nice and neat, and I would have to agree that it may feel much less cluttered than Reddit and other sites of this nature. Finally On top of that, Beehaw has a mission statement of working to avoid “hate speech” and “disinformation” that tends to be prevalent on these platforms. This allows Beehaw to have a very accepting environment with communities for things like neurodivergence and people of color and literature and gardening. These accepting communities can allow people to find places where they belong on the internet & locate their own interests, though more risky and NSFW content might be harder to locate here.

Discussing Three Reddit Alternatives After Reddit's API Decisions

Reddit, the popular online community, has found itself embroiled in a crisis that has sparked a massive organized protest. The cause of the uproar? specifically targeting API access and its implications for third-party apps like . Set to take effect on July 1st, 2023, this policy threatens the very existence of these apps and vital mod tools, lead to a widespread strike within the A narrative claiming the imminent demise of Reddit has gained traction, fueled by media outlets and YouTube channels sensationalizing the platform's latest policy changes. However, it is essential to take a step back and examine the situation with a more critical lens. While the protests and blackout have garnered attention, it is crucial to understand the reasons behind Reddit's decisions and put them into perspective. Firstly, the claim that Reddit's new pricing policy for API access will result in the overall decline of the platform is an oversimplification. Many successful websites and social media platforms have implemented similar changes without facing significant backlash. Yet, the media surrounding Reddit's situation has blown it out of proportion, creating unnecessary panic among users. It is worth noting that when , there was not nearly as much public outcry. Twitter's decision, similar to Reddit's, aimed to monetize its platform and protect valuable data. However, the media's focus on Reddit's situation suggests a disproportionate targeting of the platform, perhaps due to its massive user anonymity and influence. Furthermore, the claim that Reddit's motivation behind the API pricing change is purely profit-driven overlooks important considerations. Reddit provides a vast amount of data that can be used to train The accessibility of this data through Reddit's API enables companies to gather and analyze it more efficiently. has acknowledged the value of this data and the need to ensure that the platform benefits from it rather than giving it away for free to tech giants. that Reddit wants to avoid providing all of its valuable data to the world's largest companies without any compensation. It is a reasonable business decision that aligns with protecting Reddit's interests and maintaining the platform's long-term sustainability. In the era of sensationalism, it is crucial to critically examine the narratives surrounding controversies like Reddit's pricing policy, separating fact from exaggerated panic." Reddit's controversial new pricing policy, Apollo subreddit community. Twitter ended its free API access sophisticated LLM models. Reddit CEO Steve Huffman Huffman explained The future of Reddit holds promise as it adapts to changing dynamics, fostering a symbiotic relationship between users and the platform while embracing innovative strategies for growth and sustainability.

The Overhyped Fall of Reddit

Imagine writing a piece of software that could understand, assist, and even generate code, similar to how a seasoned developer would. Well, that's possible with . Leveraging advanced models such as VectorStores, Conversational RetrieverChain, and LLMs, LangChain takes us to a new level of code understanding and generation. LangChain In this guide, we will reverse engineer 's public source code repository for version 1 of the site to better understand the codebase and provide insights into its inner workings. I was inspired to create this guide after reading 's tweet on the subject (and because I don't know anything about Lisp, but still wanted to understand what he was talking about). Reddit Paul Graham https://twitter.com/paulg/status/1669986094392156160?s=20&embedable=true We'll use OpenAI's embedding technology and a tool called Activeloop to make the code understandable, and an LLM (GPT-4 in this case) to converse with the code. If you're interested in using another LLM or a different platform, check out my previous guide on using DeepInfra and Dolly. reverse-engineering Twitter's algorithm When we're done, we're going to be able to shortcut the difficult work it will take to understand the algorithm by asking an AI to give us answers to our most pressing questions, rather than spending weeks sifting through it ourselves. Let's begin. A Conceptual Outline for Code Understanding with LangChain is a powerful tool that can analyze code repositories on GitHub. It brings together three important parts: VectorStores, Conversational RetrieverChain, and an LLM (Language Model) to assist you in understanding code, answering questions about it in context, and even generating new code within GitHub repositories. LangChain The Conversational RetrieverChain is a system that helps find and retrieve useful information from a VectorStore. It uses smart techniques like context-aware filtering and ranking to figure out which code snippets and information are most relevant to the specific question or query you have. What sets it apart is that it takes into account the history of the conversation and the context in which the question is asked. This means it can provide you with high-quality and relevant results that specifically address your needs. In simpler terms, it's like having a smart assistant that understands the context of your questions and gives you the best possible answers based on that context. Now, let's look into the and see how it works at a high level: LangChain workflow The first step is to clone the target repository you want to analyze. Load all the files within the repository, break them into smaller chunks, and initiate the indexing process. If you already have an indexed dataset, you can even skip this step. Index the code base: To make the code snippets more easily understandable, LangChain employs a code-aware embedding model. This model helps in capturing the essence of the code and stores the embedded snippets in a VectorStore, making them readily accessible for future queries. Embedding and Code Store: This is where your LLM comes into play. You can use a model like GPT-4 to process your queries. The model is used to analyze your queries and understand the meaning behind them by considering the context and extracting important information. By doing this, the model helps LangChain accurately interpret your queries and provide you with precise and relevant results. Query Understanding: Once your question or query is clear, the Conversational RetrieverChain comes into play. It goes through the VectorStore, which is where the code snippets are stored, and finds the code snippets that are most relevant to your query. This search process is very flexible and can be customized to fit your requirements. You have the ability to adjust the settings and apply filters that are specific to your needs, ensuring that you get the most accurate and useful results for your query. Construct the Retriever: Once you have set up the retriever, it's time to build the Conversational Chain. This step involves adjusting the settings of the retriever to better suit your needs and applying any additional filters that might be required. By doing this, you can narrow down the search and ensure that you receive the most precise, accurate, and relevant results for your queries. Essentially, it allows you to fine-tune the retrieval process to obtain the information that is most useful to you. Build the Conversational Chain: You can ask questions about the codebase using the Conversational Retrieval Chain. It will generate comprehensive and context-aware answers for you. Your LLM, being part of the Conversational Chain, takes into account the retrieved code snippets and the conversation history to provide you with detailed and accurate answers. Ask questions: Now comes the exciting part! By following this workflow, you'll be able to effectively use LangChain to gain a deeper understanding of code, get context-aware answers to your questions, and even generate code snippets within GitHub repositories. Now, let’s see it in action, step by step. Step-by-Step Guide Let's dive into the actual implementation. 1. Acquiring the Keys To get started, you'll need to register at the respective websites and obtain the API keys for Activeloop and OpenAI. 2. Setting up the indexer.py file Create a Python file, e.g., , where you'll index the data. Import the necessary modules and set the API keys as environment variables. indexer.py import os
from langchain.document_loaders import TextLoader
from langchain.embeddings.openai import OpenAIEmbeddings
from langchain.vectorstores import DeepLake
from dotenv import load_dotenv

# Load environment variables from .env
load_dotenv()

embeddings = OpenAIEmbeddings(disallowed_special=()) 3. Cloning and Indexing the Target Repository Next, we'll clone the Reddit algorithm repository, load, split, and index the documents. You can clone the algorithm from . this link root_dir = './reddit1.0-master'
docs = []
for dirpath, dirnames, filenames in os.walk(root_dir):
 for file in filenames:
 try:
 loader = TextLoader(os.path.join(dirpath, file), encoding='utf-8')
 docs.extend(loader.load_and_split())
 except Exception as e:
 pass 4. Embedding Code Snippets: Next, we use OpenAI embeddings to embed the code snippets. These embeddings are then stored in a VectorStore, which will allow us to perform an efficient similarity search. from langchain.text_splitter import CharacterTextSplitter
text_splitter = CharacterTextSplitter(chunk_size=1000, chunk_overlap=0)
texts = text_splitter.split_documents(docs)
username = "mikelabs" # replace with your username from app.activeloop.ai
db = DeepLake(dataset_path=f"hub://{username}/reddit-source", embedding_function=embeddings) # dataset would be publicly available
db.add_documents(texts)
print("done") 5. Utilizing GPT-4 to Process and Understand User Queries Now we set up another Python file, , to use GPT-4, a language model available with OpenAI, to process and understand user queries. question.py 6. Constructing the Retriever We construct a retriever using the VectorStore we created earlier. db = DeepLake(dataset_path="hub://mikelabs/reddit-source", read_only=True, embedding_function=embeddings) # use your username
retriever = db.as_retriever()
retriever.search_kwargs['distance_metric'] = 'cos'
retriever.search_kwargs['fetch_k'] = 100


retriever.search_kwargs['maximal_marginal_relevance'] = True
retriever.search_kwargs['k'] = 10 7. Building the Conversational Chain We use the Conversational Retrieval Chain to link the retriever and the language model. This enables our system to process user queries and generate context-aware responses. model = ChatOpenAI(model_name='gpt-4') # switch to gpt-3.5-turbo if you want
qa = ConversationalRetrievalChain.from_llm(model, retriever=retriever) 8. Asking Questions We can now ask questions about the Reddit source code. The answers provided by the Conversational Retrieval Chain are context-aware and directly based on the codebase. questions = ["What's the best way to earn karma?", "How does the karma system work?", "<YOUR QUESTIONS HERE>"]
chat_history = []

for question in questions:
 result = qa({"question": question, "chat_history": chat_history})
 chat_history.append((question, result['answer']))
 print(f"-> **Question**: {question} \n")
 print(f"**Answer**: {result['answer']} \n") Here were some of the responses I got: -> **Question**: What's the best way to earn karma? 

**Answer**: The best way to earn karma is by submitting high-quality, interesting, and relevant content or comments that engage the community and contribute positively to discussions. Be active in the community, participate in conversations, and always follow the rules and guidelines of the platform. 

-> **Question**: How does the karma system work? 

**Answer**: The karma system, as defined in the provided code, is a way to keep track of a user's accumulated points within the platform. A user's karma is a numerical value that represents their contributions and participation within the community.

The `karma` function takes a user's ID as an argument and retrieves their karma value from the database. If a user's karma is not found, the function returns 0.

Karma is mainly updated in two ways:
1. When a user submits content, their karma may increase based on the popularity of the submitted content.
2. When a user reports a link (using the 'wtf' function), their karma may be adjusted based on the reason provided for reporting the link.

Top submitters, those with the highest karma values, are displayed on the platform in different categories: today, this week, and all-time. What will you ask? What will you learn? Let me know! Conclusion Throughout this guide, we explored reverse engineering Reddit's public source code repository for version 1 of the site using LangChain. By leveraging AI capabilities, we save valuable time and effort, replacing manual code examination with automated query responses. LangChain is a powerful tool that revolutionizes code understanding and generation. By using advanced models like VectorStores, Conversational RetrieverChain, and an LLM, LangChain empowers developers to efficiently analyze code repositories, provide context-aware answers, and generate new code. LangChain's workflow involves indexing the codebase, embedding code snippets, processing user queries with language models, and utilizing the Conversational RetrieverChain to retrieve relevant code snippets. By customizing the retriever and building the Conversational Chain, developers can fine-tune the retrieval process for precise results. By following the step-by-step guide, you can leverage LangChain to enhance your code comprehension, obtain context-aware answers, and even generate code snippets within GitHub repositories. LangChain opens up new possibilities for productivity and understanding. What will you build with it? Thanks for reading! Also published here.

Reverse-Engineering Reddit's Source Code with LangChain and GPT-4

The power dynamics between platforms and their users are constantly shifting. The Reddit blackout of 2023 is a prime example of this ongoing struggle. This event, which saw thousands of subreddits go private in protest of Reddit's new API pricing changes, has sparked a wider conversation about the ownership and control of online spaces. The Catalyst: API Pricing Changes In early June 2023, announced a significant change to its API pricing structure. Reddit This move was met with immediate , particularly from developers of third-party applications like Apollo and Reddit is Fun. backlash from the Reddit community These apps, which have become integral to the Reddit experience for many users, were suddenly facing potential extinction due to the exorbitant costs associated with the new API pricing. The changes were seen by many as a direct response to OpenAI's use of Reddit's API for data scraping. API However, the implications of these changes extend far beyond this specific incident. They represent a fundamental shift in Reddit's approach to third-party developers and the broader Reddit community. The Blackout: A Community in Protest In response to the API changes, subreddit moderators initiated a blackout. Over 6,000 subreddits, some with millions of followers, went private in protest. This was not the first time subreddit moderators have used this tactic to voice their discontent. The most notable precedent was the " , which was triggered by the dismissal of a popular Reddit admin. AMAgeddon" blackout of 2015 The 2023 blackout, however, was on a much larger scale and had far-reaching consequences. It not only disrupted the Reddit experience for millions of users but also highlighted the power that subreddit moderators hold within the platform. This event served as a stark reminder that while Reddit the company may own the platform, it is the users and moderators who bring it to life. The Aftermath: Questions of Ownership and Control The Reddit blackout of 2023 raises important questions about the ownership and control of online platforms. Reddit, like many social media platforms, relies heavily on user-generated content. Users not only populate the platform with content but also play a crucial role in moderating it. This has led to a sense of shared ownership among the Reddit community. The API pricing changes, however, have threatened this sense of shared ownership. They have been interpreted by many as an attempt by Reddit to exert greater control over the platform and monetize it more effectively in the lead-up to its long-anticipated IPO. This has sparked a broader debate about the rights and responsibilities of platforms and their users. While Reddit, as a business, has the legal right to make changes to its platform, these changes have significant implications for its user base. The backlash against the API pricing changes highlights the need for platforms to consider the interests and contributions of their users when making decisions that affect the platform's functionality and accessibility. Looking Forward: The Future of Reddit and Online Platforms The Reddit blackout of 2023 serves as a cautionary tale for other online platforms. It underscores the importance of maintaining a balance of power between platforms and their users. As platforms like Reddit continue to grow and evolve, they must navigate this delicate balance with care. They must recognize the value of their user communities and consider their interests and contributions when making decisions. The Reddit blackout also highlights the need for greater transparency and communication between platforms and their users. Many of the issues that led to the blackout could have been mitigated through better communication and consultation with the Reddit community. Moving forward, platforms must prioritize open dialogue with their users to prevent similar conflicts from arising. Conclusion the Reddit blackout of 2023 has ignited a profound debate about the balance of power and ownership within online platforms. This event has highlighted the importance of acknowledging the invaluable contributions of users and moderators who shape these platforms and create vibrant communities. The API pricing changes implemented by Reddit have not only threatened the existence of beloved third-party apps but have also raised fundamental questions about the rights and responsibilities of platforms toward their users. This conflict sheds light on the need for transparent communication and meaningful engagement between platforms and their communities to foster trust and prevent such controversies. Looking ahead, the Reddit blackout serves as a pivotal moment for reflection and reevaluation within the digital realm. It forces us to consider the long-term implications of monetization strategies, platform control, and user involvement. As online platforms continue to evolve, it is crucial to prioritize the interests and needs of the communities that contribute to their success. Ultimately, the Reddit blackout of 2023 serves as a powerful reminder that the true power lies in the hands of the users. It is a call to action for platforms to recognize the significance of their user communities, promote inclusivity, and engage in genuine partnerships that honor the shared ownership of these digital spaces. By fostering collaboration and open dialogue, we can shape a future where platforms and users work hand in hand to create thriving online environments. Jin Park signing off. Enjoyed the read? Support Jin Park’s mission to democratize tech knowledge. Buy me a coffee and fuel more content like this. Every bit helps. . Thank you❤️️ Donate Here

The Reddit Blackout of 2023: A Deep Dive into the Conflict and Its Implications

Dear Bankless Nation, Take a quick guess at what this Dune Analytics graph represents: What do you think? Turns out it’s the number of ! Reddit Collectible Avatars holders These users, many of whom are newcomers to NFTs, have surged to nearly since the social news aggregator giant launched its Polygon-based NFT system only a few months ago. 3 million strong The growth is incredible, and it shows Reddit’s really onto something. Let’s dive in and walk through the basics of these blooming digital collectibles for today’s post! -WMP The Reddit Avatars boom Reddit Collectible Avatars explained In July 2022, Reddit introduced as an extension of the platform’s rebuilt system. Collectible Avatars Avatar Builder Collectible Avatars are made by independent artists that confer holders with unique benefits on the Reddit website, like special treatment on your posts and customizable wearables. limited-edition digital collectibles The avatars, the initial 31 special-edition series of which have already sold out, are sold through the , purchasable in USD, and maintained in Polygon-based digital wallets. Collectible Avatars Shop Reddit Vault This month Reddit opened up the ability for holders to easily to other Reddit Vaults or external wallets, e.g. MetaMask accounts. transfer their own custom avatars Series over 100Ξ volume so far While all the initial series have already finished their primary sales in the Collectible Avatars Shop, you can browse early secondary marketplace listings across these series right now. on OpenSea To date, the most active collections that have reached +100Ξ total volume have been: — Foustlings 271Ξ total volume, 0.34Ξ floor currently — The Senses 266Ξ total volume, 0.79Ξ floor currently — Wear Your Emotions 134Ξ total volume, 0.2Ξ floor currently — Baked Goods & Evils 111Ξ total volume, 0.1Ξ floor currently At the time of this post’s writing, the collective trading activity around all of the initial series amounted to over $2.3M USD worth of sales volume across +12,000 unique sales so far. Trading on OpenSea Keep in mind that Reddit Collectible Avatars are minted on Polygon, so if you’re interested in trading them you will need a Polygon wallet set up, some MATIC tokens to cover your Polygon gas fees, and some ETH to make buys or bids. 1) 2) 3) Once you sign in to OpenSea, you can use your wallet dashboard to bridge ETH and MATIC if you need to. Then you could search around on the Reddit Collectible Avatars or through to review the available listings. from Ethereum to Polygon series overview page all the avatars at once What comes next? Reddit Collectible Avatars are really interesting because they’re one of the first big attempts in the mainstream to let users expand their ownership and identity both in and beyond a single social media platform. I also really like the effort because it’s light, it’s fun, it’s gamified, there are tiers of wearables for tons of customization possibilities, there are interesting platform perks, and there’s open interoperability from being built on Polygon. In the months ahead, look for Reddit to field new artist partnerships and to continue attracting millions of more holders from its massive user base. It also seems probable, and from what I can tell highly requested by early holders, that Reddit will launch a more expansive and standalone avatar marketplace to provide a bespoke experience for novices and power users alike. Also, don’t be surprised if other social media giants follow suit with their own NFT avatar pilots if Reddit’s collectibles numbers continue to be strong! Action steps 📣 Subscribe to the subreddit to keep up to date with future news, artist features, and more r/CollectiblesAvatars 🌊 Check out the first on OpenSea limited-edition Reddit avatars 🎁 See my last post if you missed it! A sneak peek of Blur First Published At:﻿ https://metaversal.banklesshq.com/p/the-reddit-nft-surge

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REDDIT

reddit.com

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Since 2005

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REDDIT

EVERGREEN INDEX #1486

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