I curated a list of Black Friday deals from Indie Makers

Hacker News

Hey HN! I curated a list of 100 black friday deals from indie makers that includes Developer tools, Design & Marketing tools, Mac Apps,Productivity apps & other digital products. Here are few of the good ones Mac Apps: 1) Motionscribe - 50% off on lifetime deal (Make apple-style product videos) 2) Paste - 30% off on all devices for 1 year (Universal clipboard manager) 3) Spaces - 35% off lifetime license (Declutter your workspace on mac) 4) Elephas - 20% off on the lifetime deal (Personal AI assistant for the Mac) Developer tools: 1) Gravity SaaS Boilerplate - 30% off (SaaS Boilerplate for Node.js & React) 2) Claws - 50% off (AWS developer playgrounds to iterate faster) 3) Local Can - 25% off ( Ngrok alternative to build and test apps with .local domains and secure persistent Public URLs) I hope this is useful to find some cool new apps this BF. let me know if you have any feedback.

Visit product View on Hacker NewsNov 24, 2023

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

87%87% 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: mac, apple, apps · Missing: agents, macos, agent

64%64% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

43%43% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

38%38% 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, video · Missing: mobile apps, ios, entrepreneurs

35%35% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

18%18% 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.

Incorrect prediction on native model

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