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Dj

Django-LLM (manage langchain in Django)

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Django-LLM (manage langchain in Django)

I started working on a ChatGPT powered web app last week and made the prompt and query management reusable. It is still at an early stage, so no slick views yet. However, you can play around in the django shell. You can store your API key in the backend, store a prompt in langchain's format, then run queries against the prompt with a function that takes bindings to the prompt's derived variables. Work right now is focused on compatibility and expanding and stabilizing the API. I am happy to hear suggestions and what features YOU would like to see.

Visit productView on Hacker NewsMar 28, 2023
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Indie HackersFits the IH revenue-focused audience · Strong signals: started · Missing: supports, reddit linkedin, podcasting
61%61% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Product HuntOn track for Day 1 leaderboard · Strong signals: chatgpt · Missing: mac, agents, macos
58%58% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
48%48% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released
38%38% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
25%25% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
16%16% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Strong signals: chat · Missing: web3, crypto, cryptocurrency
8%8% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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