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Dead Simple AI Tools via Templated Prompts

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Dead Simple AI Tools via Templated Prompts

I'm building LowTech AI to simplify powerful AI systems even further than ChatGPT. Prompting is an acquired skill, and there's room to make these epic tools even easier to use, especially for first time AI users. I want to attach the simplest UX imaginable to the best AI prompts backed by the most powerful LLMs . All the user sees is simplified magic with instructions. There's a demo of the app, and a blog post about the product here: https://lowtech.ai/blog/lowtech-ai-simple-ai-tools-for-every...

Visit productView on Hacker NewsJun 12, 2023
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Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: user, chatgpt · Missing: mac, agents, macos
71%71% 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 · Missing: supports, reddit linkedin, podcasting
60%60% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
TrustMRRFits verified-revenue profile · Strong signals: users · Missing: mobile apps, ios, personal
50%50% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: users · Missing: plus, platform, intuitive
49%49% predicted probability of success on AppSumo, 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
30%30% 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
20%20% 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
2%2% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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