Binary artifact and release management, for everyone

Hacker News

Hey HN! I've been building a tool for teams to manage their software binaries and releases. Obviously tools like Artifactory exist - but coming from an apps/games background we found the vast majority of teams didn't use any dedicated tool for managing binaries. Finding what's out there too complex / expensive / missing features they'd find useful. A lot of Google Drive, SharePoint, and Slack dumping grounds - with context lost, and not really suited to keeping track of past builds, distribution, etc. Idea for Buildstash is to bring binary and release management to all software teams, making it so accessible even for small teams that it becomes as much a no-brainer as having source control or CI. Less focus on just package repository management - but really focusing on the features devs across app/games/embedded need for managing their builds and releases. Whether around collaboration (linking builds to related issues etc), integrated beta distribution, sharing build streams and releases on their website, and rolling out to distribution platforms like the App Store / Google Play/ Steam etc. Here's a product demo video - https://youtu.be/t4Fr6M_vIIc

Visit product View on Hacker NewsSep 24, 2025

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

90%90% 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.

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

74%74% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

59%59% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

TrustMRRFits verified-revenue profile · Strong signals: apps, video, google · Missing: mobile apps, ios, personal

58%58% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

29%29% 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

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.

Correct prediction on native model

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