PandAi7
Indie HackersAre you tired of prompting?
We wanted to create a tool that will help businesses build websites without fighting AI prompts, and without having the need to learn design tools.
Share cardActual performance
1followers
$9MRR/mo
Made the leaderboard
Launch Intel predictions
Analyze your own launch →
TrustMRRFits verified-revenue profile · Missing: mobile apps, ios, personal57%57% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting54%54% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive38%38% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos37%37% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Missing: https docs, excited, just released35%35% predicted probability of success on Hacker News, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue14%14% 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, crypto0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.
Correct prediction on native model
Similar products
reelslaunch15%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Less prompting. More directing
Indie HackersCo
Composable LLM prompting and inheritance [video]45%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Composable LLM prompting and inheritance [video]
Hacker News1I
I made an app so I'll never worry about prompting again44%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
I made an app so I'll never worry about prompting again
Hacker News1Th
The beginner's guide to LLM prompting40%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
The beginner's guide to LLM prompting
Hacker News1Pr
Prompting LLMs in Bash scripts54%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Prompting LLMs in Bash scripts
Hacker News79
Pretty Prompt55%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Grammarly for prompting
Product Hunt+495Chrome ExtensionsI
I made a game testing your prompting skills44%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
I made a game testing your prompting skills
Hacker News10Pr
PromptL, a templating language designed for LLM prompting43%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
PromptL, a templating language designed for LLM prompting
Hacker News7CueCreate62%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Master the art of ChatGPT prompting
Indie Hackerscommitment-side-projectCueCreate54%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Master the art of ChatGPT prompting
Indie Hackers