Lightweight Productivity Tool

Hacker News

Hi HN! I’m the founder of Zlinky ( http://Zlinky.com ). Zlinky is an app that helps you save and organize your links and screenshots. We have worked hard to keep the app very simple. We also have a web version and a Chrome Extension. I was inspired to build this app as I was struggling to find an easy way save / organize / revisit / connect ideas. I couldn't find an existing tool that was lightweight and purpose built. I spend a LOT of time consuming content, and I felt that I wasn't being effective revisiting the highest quality content for work or personal purposes. My screenshots were also in a mess and that one important screenshot often got lost. I learnt about building prosumer apps as the Co-Founder of ManageFlitter (RIP). We scaled ManageFlitter to over 4 million users. Eventually Twitter refused most of our most valuable features. The ManageFlitter story captures the crazy rollercoaster that was building on top of the public Twitter API. Zlinky has a very generous free account that should be sufficient most users for a long period of time. Would love to get your feedback, questions, and ideas. Thanks! :) Kevin

Visit product View on Hacker NewsJan 19, 2024

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

91%91% 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: apps, user · Missing: mac, agents, macos

70%70% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

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

nativeThis product was originally launched on this platform.

TrustMRRFits verified-revenue profile · Strong signals: personal, apps, users · Missing: mobile apps, ios, entrepreneurs

55%55% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

41%41% 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

18%18% predicted probability of success on Acquire.com, 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.

Correct prediction on native model

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