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Incubator as a Service – we build, launch and test your employees ideas

Hacker News

Incubator as a Service – we build, launch and test your employees ideas

I've been wanting to experiment with this for a while. It's a subscription service for companies that want to utilise the new product or service ideas their employees come up with. With a fixed fee of $7500/mo, we'll basically work on up to 2 different ideas at the same time of your employees. This includes: - Designing & Building an MVP - Validating the idea and get early signups - Talk to early beta testers and gather feedback - Keep the original team/employee in the loop and have him/her participate into guiding the product further. When you decide the idea is ready for the next phase, you can build your own internal team or do so with our help. Interested, contact is in my bio

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Actual performance

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Made the leaderboard

Launch Intel predictions

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Product HuntUnlikely to reach the leaderboard · Strong signals: new · Missing: mac, agents, macos
49%49% 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.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
42%42% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting
37%37% predicted probability of success on Indie Hackers, 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
28%28% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Acquire.comPre-revenue stage for this audience · Strong signals: subscription · Missing: arr, mrr, revenue
24%24% 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
22%22% 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.

Incorrect prediction on native model

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