MVP done, now what?

Hacker News

MVP done, now what?

I've spent about the past 6 months or so working on what I think of as 'database as a service'. Essentially hosted Sqlite with CORS support so users can post from anywhere, and execute queries saved on the backend. One of the things I'm going for is a completely in browser development experience, so there's nothing to install, the user simply uses the UI to create and edit queries and admin their database. One of the most basic uses would be posting form data from a static HTML page: https://www.lite-engine.com/blog/post_form.html I've posted it here before and didn't get much feed back. So I've deferred implementing any more features and wrote a bunch of documentation and blog posts. Kind reader, how would you characterize a service like this? Is Sqlite a deal breaker? Would a different database implementation be more appealing? Are there any other features that would improve the appeal of the service (ie static file hosting)?

Visit product View on Hacker NewsJun 30, 2016

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

81%81% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

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

Product HuntOn track for Day 1 leaderboard · Strong signals: user · Missing: mac, agents, macos

72%72% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Strong signals: month, users · Missing: mobile apps, ios, personal

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

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

29%29% 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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