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Harrison Chase

Harrison Chase✓ Add us as a preferred source on Google

X @hwchase17
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📣Sponsored postOne tweet with your link and creative. $997→ 🧵Sponsored threadA multi-tweet thread — X rewards long-form, threads out-reac… $2,493→ 🎬Sponsored video postA dedicated video tweet — X pushes video hard, so it gets pr… $1,396→ 📌Pinned postA sponsored post pinned to the top of my profile for the mon… $2,991/mo→ 📍Post + pin comboA sponsored post that also stays pinned for a set number of … $1,595→ 🔁Repost / quote-tweet packageI repost or quote-tweet your posts through the month — distr… $1,994/mo→ 🔗Bio link placementYour link in my bio for the month — X allows only one, so it… $1,496/mo→ 🎙️X Spaces appearance / hostI host or feature you in an X Space (live audio) — a branded… $1,994→ 🤝Cross-promo / mutual shoutoutWe shout each other out — a value swap between accounts. Swap→ 🎬UGC HireBranded content for your own channels & ads from $436→ 🎙️Podcast guest spotInvite Harrison Chase onto your podcast (~45 min, remote) $436→ 📞1:1 ConsultPaid video call — advice, coaching or Q&A $75/hr→

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Followers
124.6K
Posts
17.3K
Following
578
Account age
12 yrs
🎁 Free analysisfor Harrison Chase
🕵️Fake Followers CheckReal-audience % & bot risk→ 📊Engagement rateBenchmarked vs. peers→ 💰What they chargeFair sponsored-post price→

Known for

Baby-AGI by @yoheinakajima is taking the world by storm Here's an implementation within the @langchain framework, allowing you to easily substitute in other vectorstores and other LLMs Docs: https://t.co/LK7juyVLYg 1M views Baby-AGI by @yoheinakajima is taking the world by storm Here's an implementation within the @langchain framework, allowing you to easily substitute in other vectorstores and other LLMs Docs: https://t.co/LK7juyVLYg 🤖Generative Agents🤖 Last week, Park et all released “Generative Agents”, a paper simulating interactions between tens of agents We gave it a close read, and implemented one of the novel components it introduced: a long-term, reflection-based memory system 🧵 824.9K views 🤖Generative Agents🤖 Last week, Park et all released “Generative Agents”, a paper simulating interactions between tens of agents We gave it a close read, and implemented one of the novel components it introduced: a long-term, reflection-based memory system 🧵 OpenAI recently released a guide on building agents which contains some misguided takes There's a lot of FUD, confusion, hype, and noise around agents I wrote a blog on how to think about agent frameworks. Includes: Background Info - What is an agent? - What is hard about 450.2K views OpenAI recently released a guide on building agents which contains some misguided takes There's a lot of FUD, confusion, hype, and noise around agents I wrote a blog on how to think about agent frameworks. Includes: Background Info - What is an agent? - What is hard about LangChain 🤝 AIPlugins A first open source attempt at using AIPlugins (the same ones ChatGPT is using) s/o @vaibhavk97 for this. Excited to see what other techniques the @langchain community comes up with - it's only the beginning Docs (Python and JS) in 🧵 412.3K views LangChain 🤝 AIPlugins A first open source attempt at using AIPlugins (the same ones ChatGPT is using) s/o @vaibhavk97 for this. Excited to see what other techniques the @langchain community comes up with - it's only the beginning Docs (Python and JS) in 🧵

📊 Post performance

245.1K
Avg views / post
2×
Reach vs followers
Jul 2014
On X since

🔥 Top post: Baby-AGI by @yoheinakajima is taking the world by storm Here's · 1M views

📊 Activity & format

Posting cadence
0.1 / week
A lower-frequency account — each post lands with more weight.
Content mix
Mostly images
Recent: 0 video · 11 image · 7 text.
Follower / following
216×
Follows 578 back. A strong ratio — an audience that follows them, not a follow-for-follow network.
Verification
✓ X Premium
A paid X Premium (Blue) verified account.

Recent posts

View on X ↗
🔥 Top post Baby-AGI by @yoheinakajima is taking the world by storm Here's an implementation within the @langchain framework, allowing you to easily substitute in other vectorstores and other LLMs Docs: https://t.co/LK7juyVLYg 1M❤ 2K🔁 333
Post 338.3K❤ 865🔁 145 OpenAI recently released a guide on building agents which contains some misguided takes There's a lot of FUD, confusion, hype, and noise around agents I wrote a blog on how to think about agent frameworks. Includes: Background Info - Wh… 450.2K❤ 917🔁 209 My TED talk is out! I talk about what it takes to build "context-aware reasoning applications", including: 4 different ways of providing context to LLMs 6 different types of cognitive architectures 81.4K❤ 819🔁 157 🦜🔗Code Interpreter API ChatGPT's code interpreter is the hottest thing in the streets. A new project by @Shroominic takes a stab at recreating that functionality locally using OpenAI's apis Uses CodeBox - a sandboxed env with simple file… 151K❤ 760🔁 164 The new @OpenAI functions are good for other things besides agents Another killer use case is extracting structured information from unstructured docs We've adding support for extraction AND tagging in @langchain - thanks to @fpingham fo… 317.6K❤ 707🔁 127 🚨Emergency OpenAI Functions Release🚨 `pip install langchain==0.0.199` ✅ Support for functions in chat model wrapper ✅ Convert @langchain tools to functions Docs: https://t.co/JjrKLU92L7 Next up... I think its time for a new type of age… 307.6K❤ 866🔁 216 🌟privateGPT🌟 - this is sick!!! I've always had people asking me if it was feasible to use @langchain with open source models, and my answer was "at the moment, not really..." but @ivanmartit did it!!!!! this is a huge step forward 👏👏👏 484.3K❤ 2.3K🔁 435 Retrieval for QA systems is hard Vector search is good for capturing semantically similar texts, but often queries specify desired attributes like time, authorship, or other "metadata" fields, which vector search is not great at Enter...… 245.1K❤ 927🔁 174 🤖Autonomous Agents & Agent Simulations🤖 Four agent-related projects (AutoGPT, BabyAGI, CAMEL, and Generative Agents) have exploded recently We wrote a blog on they differ from previous @langchain agents and how we've incorporated som… 238.3K❤ 796🔁 183 🤖Generative Agents🤖 Last week, Park et all released “Generative Agents”, a paper simulating interactions between tens of agents We gave it a close read, and implemented one of the novel components it introduced: a long-term, reflection-b… 824.9K❤ 2K🔁 386 Yesterday @karpathy tweeted about using SVMs instead of KNN for retrieval (pros: better results, flexibility; cons: takes longer) Today @RLanceMartin implemented it in @langchain 🚀🚀 Play around with it here! https://t.co/fCbOisp3Gw 198.1K❤ 948🔁 152

💡 Facts

🗓️Joined X in 2014 — 12 years ago.
👁️Averages 245.1K views per post.
📤Posts about 0.1× per week.
💬1.11% engagement rate.
🏅Earned the 100K Followers for passing 100K followers.

🕵️ Fake follower check

Estimated
69/100
Good Credibility score
85%
Real Real audience
Low Fake-follower risk
High Data confidence
  • Est. 85% real, active audience · Low fake-follower risk.
  • Engagement (~2× of followers engage each post) is around typical for X.
  • Organic base — far more followers than accounts it follows.
  • Verified account.
  • Established account (12+ years old).
  • 1.11% engagement — below the ~14.4% typical for this size.

Heuristic estimate from engagement, follower ratios, account age & growth — a screening signal, not a guarantee.

About

@LangChain Always hiring: https://www.langchain.com/careers

📸 Gallery

OpenAI recently released a guide on building agents which contains some misguided takes There's a lot of FUD, confusion, hype, and noise around agents I wrote a blog on how to think about agent frameworks. Includes: Background Info - What is an agent? - What is hard about 🦜🔗Code Interpreter API ChatGPT's code interpreter is the hottest thing in the streets. A new project by @Shroominic takes a stab at recreating that functionality locally using OpenAI's apis Uses CodeBox - a sandboxed env with simple fileIO functionality Blog & GitHub 👇 🚨Emergency OpenAI Functions Release🚨 `pip install langchain==0.0.199` ✅ Support for functions in chat model wrapper ✅ Convert @langchain tools to functions Docs: https://t.co/JjrKLU92L7 Next up... I think its time for a new type of agent 😁 Retrieval for QA systems is hard Vector search is good for capturing semantically similar texts, but often queries specify desired attributes like time, authorship, or other "metadata" fields, which vector search is not great at Enter... ⭐️SelfQueryRetriever⭐️ 🤖Generative Agents🤖 Last week, Park et all released “Generative Agents”, a paper simulating interactions between tens of agents We gave it a close read, and implemented one of the novel components it introduced: a long-term, reflection-based memory system 🧵 Yesterday @karpathy tweeted about using SVMs instead of KNN for retrieval (pros: better results, flexibility; cons: takes longer) Today @RLanceMartin implemented it in @langchain 🚀🚀 Play around with it here! https://t.co/fCbOisp3Gw Baby-AGI by @yoheinakajima is taking the world by storm Here's an implementation within the @langchain framework, allowing you to easily substitute in other vectorstores and other LLMs Docs: https://t.co/LK7juyVLYg ⭐️Claude + AI Plugins⭐️ AI Plugins (the ones ChatGPT is using) are usable by ANY language model It takes a tiny bit of prompt engineering, but here is @AnthropicAI's Claude using them Code: https://t.co/neBB7QvYiu

🔀 Audience overlap

Estimated

Estimated shared audience with similar creators — useful for avoiding overlap (or doubling down) when planning a campaign.

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Harrison Chase has 124,601 followers on X.

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