50+ open source AI-built SaaS apps

Hacker News

Hey HN, we're building a library of open source SaaS apps for small businesses and personal use. You can browse the apps at https://builder.replay.io , these are free to copy or download and use however you want. Examples: * https://builder.replay.io/gallery/Sales%20CRM — Sales CRM with pipeline view and deal tracking * https://builder.replay.io/gallery/Issue%20Tracker — Issue tracker with projects and triage view * https://builder.replay.io/gallery/Team%20Wiki - Internal docs with nested pages and customizable tables * https://builder.replay.io/gallery/Invoicerator — Time tracking + invoice generation for freelancers * https://builder.replay.io/gallery/Accounterize - Accounting system for tracking financial transactions * https://builder.replay.io/gallery/Inventory%20Tracker - Inventory management for production facilities We love building bespoke software with AI, but many businesses have needs for similar tools and we want to strike a middle ground between having to build something from scratch or pay for expensive and immutable off the shelf software. These apps have comprehensive, passing test suites and are a good place to start for a vibe coding project, but we're also building out the apps (and their test suites) into complete tools ready for immediate use. See more here: https://blog.replay.io/communal-saas-apps If you're interested in using these you can sign up as an early adopter on any of the app landing pages, and we'll support you to make sure things are working great.

Visit product View on Hacker NewsJan 27, 2026

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

85%85% 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: apps, using, coding · Missing: mac, agents, macos

67%67% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

62%62% 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: personal, apps · Missing: mobile apps, ios, entrepreneurs

38%38% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

32%32% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

15%15% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Strong signals: time tracking · 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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