I just launched my first SaaS - Timelogga

Hacker News

Hey Guys I’m a frontend developer and for nearly 7 years I’ve been building and shipping products for my employers. I’ve freelanced during that time too. The problem with freelancing wasn’t finding a gig. Thankfully I found many and many found me. The problem was accurately tracking my time and quickly creating a timesheet ready to submit so I could be paid for my work. I built Timelogga.io so I could solve that problem. Now I generate timesheets quickly for the tasks that I've worked so I don't need to worry about creating one manually. That was a very long task and honestly, it was the most boring and time-consuming part of freelance work - which sadly, was NOT a paid endeavour! Sometimes, I was late for my payment submissions because the timesheet wasn't ready. I tried tools like Google Sheets and other similar products but they were either limited, too bloated for what I needed or just too expensive (especially when I was starting out!). Now that I can easily track my tasks and create a timesheet quickly, I focus my time and energy on what matters and gets me paid. My work. LATEST new feature: You can now pause ongoing tasks and start new ones. I hope you enjoy it. I'd love some feedback, some sales and your support. Thank you. https://www.producthunt.com/posts/timelogga

Visit product View on Hacker NewsNov 12, 2024

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

92%92% 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: google, new, tasks · Missing: mac, agents, macos

83%83% 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

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.

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

41%41% 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

37%37% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

19%19% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

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