I Curated Premium Black Friday Deals for SaaS and Apps

Hacker News

Last Week, I was tired of hunting through scattered sources to find the best Black Friday deals on premium apps and software so I decided to create a centralized directory myself. Using Claude Code, I vibe coded the entire Black Friday deals directory in just 2 days, and the results have been incredible. Stack: Nextjs for Frontend Convex for Database Umami and Posthog for analytics Dodopayment for Payment In less than a week, it’s attracted 4,000+ visitors, with 500+ coming in just the last 24 hours (Analytic is public on website, so you can verify the traffic yourself :)) The directory features lifetime deals and product bundles on premium apps and tools, curated specifically for developers, creators, and entrepreneurs looking for genuine value. If you’re hunting for Black Friday deals on premium software, check it out And if I’ve missed any great deals, drop them in the comments.

Visit product View on Hacker NewsNov 28, 2025

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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 HuntUnlikely to reach the leaderboard · Strong signals: claude, apps, using · Missing: mac, agents, macos

50%50% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

40%40% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: ide, 000 · Missing: https docs, excited, just released

31%31% 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

28%28% 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 · Missing: web3, chat, crypto

2%2% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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