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I productized my service of no-code development

Hacker News

I productized my service of no-code development

Hiring developers or traditional agencies is long, exhausting, and very... very expensive. Also, sometimes off-the-shelf software just isn't enough or is bloated with too many features for your business. So, I got the pen working and package my existing skillset into DevGlide, a productized service specializing in developing custom internal software for businesses. With DevGlide, development is much faster and an affordable way for businesses to get custom internal software. With a flat monthly fee, you get a dedicated developer, unlimited development requests and revisions, and real-time tracking to keep you in the loop. No need to hire developers, spend hours vetting freelancers, or enter binding contracts with agencies Whenever you don't need any development from us, you can pause your subscription and unpause whenever you're ready so you don't lose any money in the process. Got any questions? I'd be happy to answer :)

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Actual performance

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Did not reach leaderboard

Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
90%90% 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.
TrustMRRLess likely to generate early MRR · Strong signals: month, monthly, way · Missing: mobile apps, ios, personal
46%46% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: exist, existing, ide · Missing: https docs, excited, just released
44%44% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Product HuntUnlikely to reach the leaderboard · Strong signals: code · Missing: mac, agents, macos
40%40% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
23%23% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Strong signals: subscription · 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 · Strong signals: time tracking · Missing: web3, chat, crypto
0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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