Built BriefLink in One Week – Summarize and Share Links Quickly

Hacker News

Hey Hacker News community, In just one week of intense coding, I built BriefLink and I’m excited to share it with you all. BriefLink is designed to help you quickly summarize and share web content. Here’s what it offers: Shortened: BriefLink always shortens any link, no matter the size. Easy: Fast and simple—enter the long link to get a shortened version. QRify: Packed with powerful features to supercharge your marketing efforts. Customized: Tailor your link's behavior with device targeting, geo-targeting, and link cloaking. Secure: Fast and secure with HTTPS protocol and data encryption. Reliable: We delete links spreading spam, viruses, and malware. Statistics: Check the number of clicks your shortened URL received. Devices: Compatible with smartphones, tablets, and desktops. Smart Target: Select the domain that best fits what you're linking to. I built BriefLink to manage information overload and share content efficiently. I'd love your feedback and suggestions for improvement. Check it out at BriefLink and let me know what you think! Thanks,

Visit product View on Hacker NewsJun 21, 2024

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Actual performance

1points

Did not reach leaderboard

Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Strong signals: efficiently, compatible · 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.

AppSumoStrong fit for a featured deal · Strong signals: efficient · Missing: plus, platform, intuitive

67%67% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

57%57% 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: new, coding · Missing: mac, agents, macos

36%36% 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

26%26% 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

12%12% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

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