It

It’s so hard to focus during work with ADHD

Hacker News

It’s so hard to focus during work with ADHD

Hi all, Sooo ive spent years and years battling ADHD behind a desk, and still, I haven't found that 'one' tool to keep me focused. I'm pretty sure I've sampled a galaxy of productivity tools, and yet, not a single one seems to be designed for an ADHD brain like mine. Here's the loop I find myself in: 1. Realize I've done nothing at work and feel overwhelmed and stressed. 2. Hit Google: "Top ADHD productivity tools," "Best ADHD time-management…." you name it. 3. Sign up for EVERY. SINGLE. ONE. 4. Feel like I'm drowning in a sea of features, but still used it. 5. Few days later, forget the tool even existed. 6. When I do remember, oops, too late, I’ve lost interest. 7. Realize I've done nothing at work and feel overwhelmed and stressed. It's a never-ending cycle, and I've had enough. Since I’m a software engineer, I decided to take matters into my own hands. I've just launched a to-do list designed for ADHD minds. It’s been helping me and my colleagues stay focused at work. Watch a quick demo: https://www.loom.com/share/ddff6d72b73446f792b45cc284e045d0 You can give it a go here: https://complish.ai I’d love any feedback on the app. You can also join our small discord server to give us feedback https://discord.gg/jSwQhAccCc

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Hacker NewsStrong engagement from HN community · Strong signals: exist, adhd, ide · Missing: https docs, excited, just released
81%81% 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: google, single · Missing: mac, agents, macos
70%70% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
56%56% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
TrustMRRFits verified-revenue profile · Strong signals: google · Missing: mobile apps, ios, personal
55%55% 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
28%28% 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
12%12% 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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