Flowlance: Create invoices from your calendar

Hacker News

Today we're launching Flowlance, where you can create invoices from your calendar. Flowlance helps you create events with your clients who get automatically invited, manage your time and get paid by creating an invoice or via Stripe. No more Excel. Originally made for online tutors, now viable for all session-based solopreneurs / self-employed. FE: React, react-bootstrap, TypeScript BE: PHP, Symfony, API Platform I'm a Full-Stack Developer @ Flowlance, so feel free to ask even about technical details. I'd love to share my experience of developing the creation of invoices from Google Calendar events or the international bank account information input.

Visit product View on Hacker NewsNov 9, 2023

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

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

best fitHighest predicted score across all platforms for this description.

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

69%69% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

53%53% 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

43%43% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

31%31% 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

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: paid · Missing: web3, chat, crypto

9%9% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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