Retune – the missing frontend for GPT-3

Hacker News

Hey everyone! We launched re:tune today to help builders build complex apps on top of GPT-3. With re:tune, you can do things like: - turn any prompt into a chatbot - get API to integrate into your app - create custom fine-tuned models from your (large) dataset - modify your data and tweak parameters to get personalized output. - write a prompt once, and generate variable responses with our variables editor. You can think of this as a supercharged frontend for GPT-3, along with newer langchain techniques. As next step, we are building out features to publish and monetize your LLM apps, feed external data with embeddings, connect your chatbots with internet and composing multiple prompts / chatbots to build complex workflows. These features are still very early alpha, and hidden behind flags but I would love to connect with adventurers in this space and iron things out together! We are still embarrassingly early, but removed the waitlist for today. Have fun breaking things! We are also live on product hunt: https://producthunt.com/posts/re-tune

Visit product View on Hacker NewsJan 10, 2023

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Product HuntOn track for Day 1 leaderboard · Strong signals: model, apps, new · Missing: mac, agents, macos

95%95% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

Indie HackersFits the IH revenue-focused audience · Strong signals: para · Missing: supports, reddit linkedin, podcasting

76%76% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Missing: https docs, excited, just released

45%45% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

TrustMRRLess likely to generate early MRR · Strong signals: personal, apps, para · Missing: mobile apps, ios, entrepreneurs

34%34% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Strong signals: builder · Missing: plus, platform, intuitive

29%29% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Strong signals: arr · Missing: mrr, revenue, profit

19%19% 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

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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