My 40 Day Startup Project, PlopDot

Hacker News

40 days ago I set out with the goal to go from idea to launch with a product. After narrowing things down by looking over problems I encounter every day I realized that my life would be a million times easier with a better Stripe dashboard. Before this I didn't run any recurring revenue businesses. I sell online courses so people pay once and that's it and there didn't seem to be any good alternatives for those businesses so I built one myself. I had always seen being able to design and develop as a blessing, but in this case it was quite the curse. The designer wants to perfect the design which takes time, while the developer wants to ensure quality code. That doesn't even include the marketer that needs to write blog posts. It was fun and I look forward to continue building the product out, but this is the first time in my life where I can see why people suggest a co-founder (or in my case a partner) to spread the load. Not only with work, but for someone to have your back. For anyone interested here is the product: https://plopdot.com

Visit product View on Hacker NewsMay 21, 2015

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

95%95% 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.

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

63%63% 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 HuntOn track for Day 1 leaderboard · Strong signals: stripe, code · Missing: mac, agents, macos

60%60% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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.

Acquire.comPre-revenue stage for this audience · Strong signals: arr, revenue, recurring · Missing: mrr, profit, saas

27%27% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

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

25%25% predicted probability of success on AppSumo, 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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