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Seed your database with AI (Demo)

Hacker News

Seed your database with AI (Demo)

Hey HN, My mission is to make sure that developers are coding against production-like data, why? Your data is a dependency of your code, and it's one of the areas that's mostly ignored: You're all coding against bad data! And if you're coding against production data you feel bad because you have people's private data! Snaplet Seed is like Faker.js and Prisma had a baby. I want to change that. I want you to feel empowered by our tool, so that you can focus on building great features and fixing real bugs. Not trying to figure out which parent relational data a child entity needs. If you have any feedback please ping me: peter@snaplet.dev

Visit productView on Hacker NewsJan 31, 2024
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Actual performance

3points
Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →
Product HuntOn track for Day 1 leaderboard · Strong signals: coding, code · Missing: mac, agents, macos
90%90% 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: io · Missing: https docs, excited, just released
62%62% 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
57%57% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
39%39% predicted probability of success on TrustMRR, 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.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
19%19% predicted probability of success on AppSumo, 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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