Pr

Programming with your own words (in English)

Hacker News

Programming with your own words (in English)

Hi HN! Fernando here. I am really looking forward to getting some feedback about Hupreter (https://hupreter.com) from you all. I started working on Hupreter a year ago, mostly exploring what was possible. But some time before that, I started playing with NLP (natural language processing) and discovering what was currently possible. At first, I was using it on news articles but then I thought that it might be possible to use this to program in natural languages (like English), instead of programming languages. How cool would it be if you could just tell your computer what to do! Your computer, your phone, or any machine. Most of the work has gone into creating a semantic engine that aims to 'understand' the meaning behind a piece of text. Once that worked, I focused on the second stage which is converting that understanding into instructions in a programming language. I am really happy to put this out there and get some feedback. Hopefully some interest too. This is just the beginning, it will keep growing to handle more and more tasks. https://hupreter.com Thank you! Let me know what you think.

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4points
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Did not reach leaderboard

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Indie HackersFits the IH revenue-focused audience · Strong signals: started · Missing: supports, reddit linkedin, podcasting
75%75% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released
70%70% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Product HuntOn track for Day 1 leaderboard · Strong signals: mac, computer, new · Missing: agents, macos, agent
65%65% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
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42%42% 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
18%18% 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.

Incorrect prediction on native model

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