PopSQL and SeekWell were shutting down, so I built the replacement

Hacker News

My team used PopSQL and SeekWell to get data from our DBs into Google Sheets on a schedule while also sharing a library of company specific SQL queries. Both were shutting down, so I built a replacement covering just the parts we actually used: connect a database, write and share SQL, schedule the results to Sheets or Slack. Yes, a cron job running a python script does the same thing for free. But getting non-technical teammates to use that is the hard part, and that's really what this solves. Another thing I strongly believe is that data belongs to everyone in the company. People will figure out use cases when they have access to the data, and people are way more productive when the access is not gatekeeped. It's narrow on purpose, and I'm happy to build almost anything people need in a tool like this. What would you want to see?

Visit product View on Hacker NewsAug 31, 2026

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Hacker NewsStrong engagement from HN community · Missing: https docs, excited, just released

71%71% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

66%66% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting

62%62% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Strong signals: google, way · Missing: mobile apps, ios, personal

46%46% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive

27%27% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Strong signals: arr · Missing: mrr, revenue, profit

15%15% 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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