Stringify – a new IoT platform to let you visually connect everything

Hacker News

Hi HN, We're a new Bay Area startup aiming to connect all of your things visually - supporting multiple triggers (AND and OR), multiple actions, cascading flows, etc. We're already integrating with dozens of services, both physical and digital - SmartThings, LIFX, Hue, Jawbone, Withings, Misfit, Dropbox, Google Drive, and the list goes on. We're really hoping to get some additional beta testers. We're on iOS only for now - so if you have an iPhone and want to give it a shot, get on our invite list @ https://www.stringify.com and we'll send you a TestFlight invite in the next few days. Oh- and we're also looking for another good Node developer :).

Visit product View on Hacker NewsNov 21, 2015

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

67%67% 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: google, new, visual · Missing: mac, agents, macos

55%55% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

52%52% 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: ios, google · Missing: mobile apps, personal, entrepreneurs

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

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

37%37% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

16%16% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Strong signals: smart · 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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