Kinda like posterous?

Hacker News

Always loved posterous, but I thought it would be really cool if somehow you could treat email addresses like twitter hashtags and usernames. So after 2 days of coding, it's here and works. It's not pretty, but it's really neat & kinda addicting. Anyone can email or text anything to _ _ _ _ _ _@inboxi.us and it immediately creates a public page and an email address. For example, say you wanted to create a page for coding errors called fmlcodesucks, you could just text or email it to fmlcodesucks@inboxi.us and it instantly posts your picture to that page and lets anyone contribute by sending pictures to fmlcodesuskcs@inboxi.us. This is just an example and you can come up with any name you want, no account registration or any of that BS. Right now we only support pictures, but plan to support other stuff.Would love your feedback and see if you think there are any legs here to keep working on it.

Visit product View on Hacker NewsApr 7, 2012

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

81%81% 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, inbox, email · Missing: mac, agents, macos

75%75% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

45%45% 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: way · Missing: mobile apps, ios, personal

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

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

35%35% 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 · 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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