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Posterity Automations – Get things done from the afterlife

Hacker News

Posterity Automations – Get things done from the afterlife

Hey there HN – I'm Mohamed, CEO here at Posterity. I've seen a lot of threads lately discussing how stuff can be transferred safely to significant others and spouses. A key aspect of that transfer is often timing, and the ability to only disclose information if and when necessary. This is basically what Automations are about; web-hooks triggered in the event something happens, and which can serve as a reliable signal because we verify every death manually. Today, it's available via IFTTT ( https://ifttt.com/posterity ), and we'll be launching standard HTTP web-hooks very soon as a follow up. Hope you find this useful.

Visit product View on Hacker NewsNov 18, 2022

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

64%64% 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: soon · Missing: plus, platform, intuitive

45%45% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos

42%42% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

40%40% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

19%19% 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.

Correct prediction on native model

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