GetSheetAPI – Turn Any Google Sheet into a REST API in 60 Seconds

Hacker News

Hey HN, I built GetSheetAPI because I kept writing the same boilerplate: fetch Google Sheet → parse CSV → return JSON. Every freelance project, every prototype, every "can you just pull data from this spreadsheet" request. Now it's just: curl -H "X-API-Key: xxx" https://api.getsheetapi.com/v1/{sheet-id} Returns: {"data": [{"name": "Product A", "price": 29.99}], "meta": {"total": 150, "page": 1}} First row becomes field names. Full CRUD (GET/POST/PUT/DELETE). Pagination built in. Free tier: 100 requests/day, 1 sheet. I know "Google Sheets as a database" makes some of you twitch. It's not meant to replace Postgres. But for landing page backends, internal tools, or prototypes that might never need a "real" database — it removes a lot of friction. Would love feedback. What's missing? What would make this actually useful for your workflow?

Visit product View on Hacker NewsJan 30, 2026

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

81%81% 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: google · Missing: mac, agents, macos

64%64% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

60%60% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

39%39% 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

30%30% 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

25%25% 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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