Lightweight, open source FlatFile clone

Hacker News

Hi HN! I built this for my own company, but I figured there might be a chance it will be useful for others too. We explored Flatfile and they quoted us pretty insane prices: ~12k + 4k for every "shape" of import. Since we were looking for a solution to import 4 different types of data (users, locations, etc), it would've come out to about 28k / year. But their product is fantastic, and so I figured I'd try to shamelessly copy their UX. It's not quite there yet in terms of aesthetics, but we will continue to invest in it since it's currently being used already in production with great user feedback. Here is the link to the project: https://czhu12.github.io/react-importer/

Visit product View on Hacker NewsMay 21, 2023

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Actual performance

2points

1comments

Did not reach leaderboard

Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: user, open · Missing: mac, agents, macos

85%85% 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: open source, io · Missing: https docs, excited, just released

66%66% 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: users · Missing: mobile apps, ios, personal

42%42% 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

26%26% 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

14%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, 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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