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Salami – declare your cloud infrastructure with natural language

Hacker News

Salami – declare your cloud infrastructure with natural language

Hi HN! Salami is an open-source DSL that lets you declare Terraform-style configurations with natural language. The compiler uses LLM (currently GPT-4) to convert natural language into Terraform code. This project's main motivation was to better integrate LLMs into the developer workflow. Salami makes it easier to program in natural language without switching and copy-pasting. It’s also more accurate than GPT-4 alone, as it can catch errors and generate code that is more likely to be correct. The GitHub repo has several examples you can easily run. I also wrote a blog post and recorded a short demo video. Blog post: https://www.petrgazarov.com/posts/infrastructure-as-natural-... Demo video: https://www.youtube.com/watch?v=ej629E0WOIY Thanks for checking it out!

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Product HuntOn track for Day 1 leaderboard · Strong signals: code, open · Missing: mac, agents, macos
81%81% 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.
Hacker NewsStrong engagement from HN community · Strong signals: ide, io · Missing: https docs, excited, just released
68%68% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
56%56% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: video · Missing: mobile apps, ios, personal
38%38% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
35%35% 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
19%19% 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
1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

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