PixShot – Screenshot and OG Image API

Hacker News

I built PixShot — a screenshot and OG image API. You can try it on the homepage without signing up, just type any URL. I needed screenshots for a side project and balked at the pricing — Urlbox starts at $29/mo for 5K, ScreenshotOne at $79/mo for 10K. So I built my own on a single VPS. Free tier is 500/mo, paid starts at $19/mo. Stack: Fastify + Playwright + Sharp + BullMQ + Redis, deployed on OVH with Dokploy. No serverless, no cold starts. I'm based in Colombia where Stripe doesn't work for merchants, so I used Creem.io as a Merchant of Record — not something I expected to spend time on. Happy to answer questions about the architecture or pricing.

Visit product View on Hacker NewsFeb 26, 2026

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3points

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Did not reach leaderboard

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

71%71% 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: ide, io · Missing: https docs, excited, just released

56%56% 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

53%53% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

43%43% 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

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

24%24% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Strong signals: paid · Missing: web3, chat, crypto

1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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