VerticalChange, SurveyMonkey meets Highrise (and a LOT of AngularJS)

Hacker News

We built a "people management platform". I think this falls into the "unsexy" category. Users can build custom forms to track any type of data for people. While the application is applicable in many different markets, our initial target is social-service agencies, non-profits, and case-managers (it’s where we think we can make the biggest positive impact). Technology wise, our upcoming blog posts might be something like “2 years with AngularJS” and “HIPAA Compliance on AWS”. We’ve had a great time developing with tools and platforms like AngularJS, Postgres (w/ hstore), Rails, Golang, Chef, AWS (VPC), etc. A long time in the making, we have happy clients, and are really excited to get some more eyes on it. Any feedback is always appreciated, and I'm happy to answer any questions. Thanks!

Visit product View on Hacker NewsNov 7, 2013

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

92%92% 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: user · Missing: mac, agents, macos

63%63% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

TrustMRRFits verified-revenue profile · Strong signals: users, way · Missing: mobile apps, ios, personal

56%56% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

48%48% 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 · Strong signals: platform, users · Missing: plus, intuitive, reviews

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

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

17%17% 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.

Incorrect prediction on native model

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