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Spry – Build Ecommerce with Google Sheets

Hacker News

Spry – Build Ecommerce with Google Sheets

Hi HN, Jay (memset) and Len here. We've built Spry (https://spry.store), a tool that allows you to create an ecommerce site just using Google Sheets and Stripe. We think it's easier to use than the alternatives and priced so you don't spend more than you make on a side-hustle. Jay has been selling music notebooks online for over a year. His biggest pain point was the initial toil of researching ecommerce options, comparing pricing and features, and all of the sheer configuration he had to do just to get the notebooks online. We set out to fix this. Spry is simple: 1) sign in with Google 2) add products to a sheet 3) poof they appear on your site We see people using it as a way to list personal items, dropship items, or as their first ecommerce site. Let us know what you think!

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
80%80% 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, stripe, using · Missing: mac, agents, macos
78%78% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRFits verified-revenue profile · Strong signals: personal, google, way · Missing: mobile apps, ios, entrepreneurs
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: ide, io · Missing: https docs, excited, just released
52%52% 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 · Missing: plus, platform, intuitive
33%33% 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.

Correct prediction on native model

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