Madepublic – a platform for indiemakers building in public now in beta

Hacker News

My name is Chris, I'm the solo founder and builder of madepublic! I started building madepublic over a month ago when I wanted to build a different application in public and found the options available to me lacking. Tweets and Twitter threads are good for reach but poor for organisation, information and sharing details about the projects themselves. Other platforms simply didn't have the features I wanted or were simply far too expensive to use - madepublic.io was built to address that, and create a place for founders and indiemakers to show off their offerings and help others with transparent, and honest accounts of their products journey. Around a week ago I posted on /r/sideproject with some great feedback, I've incorporated all of it, added features and tightened things up for beta! Currently on the platform, you can create an account, a profile and several projects. Your profile can house a bio, a profile image and numerous links to social accounts. Your projects are where things really get interesting - each project on madepublic.io let's you display information about the product including: - Motivations - why the project exists and it's goals - Technical stack (or no-code) tags - Project toolbox (tools and resources used to build the project) - A public feed to outline updates and changes, categorised and accompanied by emojis - Status - Links to the product itself, Twitter & Facebook - Real-time updating statistics regarding page impressions, link clicks and entries - Project logo In the coming weeks, I'll be adding additional features such as: - A way for users to request features & submit bug reports to each project - Project polls to help you decide between different choices - A public to-do list for each project - A way to promote your project on the homepage - A dashboard instead of a marketing landing page - Lots, lots more Madepublic is currently 100% free to use - in the future it may introduce a pro plan with additional features but every existing feature today will remain entirely free. Please use the link below to create your madepublic account and begin your journey with us. https://madepublic.io/u/register Remember this is the first launch and a beta so some things might not work entirely as expected. For any support queries or feedback, please use the widget at the bottom of the page on madepublic.io or reach out right here! If you're a fan of the platform please spread the word and consider leaving us a testimonial by clicking on the link in the footer!

Visit product View on Hacker NewsAug 20, 2022

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

87%87% 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, code · Missing: mac, agents, macos

71%71% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

46%46% predicted probability of success on AppSumo, 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

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: month, users, way · Missing: mobile apps, ios, personal

36%36% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

14%14% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

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