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Export to Statwing – Help your users analyze data from your app

Hacker News

Export to Statwing – Help your users analyze data from your app

We’re launching an API to export data to Statwing, our easy-to-use data analysis tool (YC S12). If your app produces or collects data that your users want to analyze, we can help them get more value out of that data. Your users would one-click “Export to Statwing” from your app and be directed to their data in Statwing, ready for analysis. We use behind-the-scenes statistical analysis to make it dead simple to quickly summarize and find relationships in data, so our users tell us they analyze data ~5x faster than in Excel or traditional statistical tools. It’s free to you, and free to your users unless they want to analyze data for more than a month. We also have a cobranded integration option if you want to embed Statwing directly into your app. Current integrations include survey companies like Survata and quantified self companies like AskMeEvery, and we’re in the process of integrating with a couple companies you’ve probably heard of. Statwing: https://www.statwing.com/ Integration overview: https://www.statwing.com/overview/integrations API docs: https://www.statwing.com/docs/api You can set up the whole integration on your own, or ping us at [contact at statwing] to chat about it or ask questions. We’d really love as much feedback as possible about the API, the value prop, and anything else you can think of. Cheers!

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
76%76% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Product HuntOn track for Day 1 leaderboard · Strong signals: user · Missing: mac, agents, macos
72%72% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRFits verified-revenue profile · Strong signals: month, users · Missing: mobile apps, ios, personal
57%57% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released
50%50% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
AppSumoMay struggle as an AppSumo deal · Strong signals: users · Missing: plus, platform, intuitive
46%46% 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
12%12% 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
0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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