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Clai v1.5 – Multi LLM vendor unix-like cli

Hacker News

Clai v1.5 – Multi LLM vendor unix-like cli

Clai allows you to pipe files into practically any AI model, local or remote, and then stores the output as conversations locally. Supports tooling calls for many convenient bash tools, also supports writing local files. You can also pre-prompt with the new profiles, which enables convenient swapping between custom tool + prompt configurations. Personally I use clai practically all the time. It auto-generate unittests in seconds, can analyze huge complex codebases, interpret confusing output + syntax, etc. It's a tool, like a hammer, so you need to know how to use it. But once you do it increases productivity manyfold in a way copilot and similar can't, mostly due to it's high customization: it solves any problem you can formulate, and it helps you formulate the problem.

Visit productView on Hacker NewsAug 19, 2024
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Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: model, new, using · Missing: mac, agents, macos
87%87% 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: supports · Missing: reddit linkedin, podcasting, created
83%83% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
AppSumoStrong fit for a featured deal · Strong signals: calls · Missing: plus, platform, intuitive
59%59% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: personal, way · Missing: mobile apps, ios, entrepreneurs
45%45% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: pipe, io · Missing: https docs, excited, just released
36%36% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
11%11% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto
0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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