I Built a Spreadsheet of Productized Services

Hacker News

Hey HN, This weekend I built an excel spreadsheet so that you can come up with your next (scalable) service idea. If you are a consultant / agency and are looking to move from to build a scalable business / valuable asset, this is for you! WHY I built this: - Many people want to start their business but can't find an idea - Many people build stuff / services that nobody want - Ideas are great but execution is what matters: See what others have done successfully, get inspired, and do your own thing! The framework is called the Productized Service Matrix. --- It features in total: - 75 companies (making as low as a few thousand USD $/month to $50m/year) - 21 verticals/industries - 13 different business models The list is here: http://www.productizematrix.co I also run a productized service (see in my profile) and have been really interested in this space for the last months.

Visit product View on Hacker NewsJul 28, 2019

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

88%88% 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.

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

65%65% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

Product HuntUnlikely to reach the leaderboard · Strong signals: model, models · 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: month · Missing: mobile apps, ios, personal

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

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

27%27% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

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

24%24% predicted probability of success on AppSumo, 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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