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Perforate.app – Focus-friendly bookmarking and task management

Hacker News

Perforate.app – Focus-friendly bookmarking and task management

Hi HN: ## What is it? https://perforate.app Perforate is a web-app for setting recurring schedules, with timeouts for bookmarks and tasks. I drew inspiration from the "noprocrast" setting with HackerNews and wanted to apply it for every website I visit. And I'd like your feedback on if it works, and what you think. ## Why did I build it? I'm a software-engineer, turned co-founder of a business-to-business software-as-a-services company, and my focus has dramatically shifted from writing code to running the company. This means, I need to regularly check client details, new releases, upcoming marketing campaigns - everything. And I started to find it overwhelming. What I wanted was a tool that helped me track all of the thinks I should be looking at, but hide them for periods of time to keep me from checking them too often. Also, I love to code, but our products have grown in complexity and testing - and whereas I used to do evening hacks on the system, with new testing and change management processes (both good) - I don't find "hacking" on the product relaxing. ## What does it do? Perforate has two main functions build on scheduling - tasks and bookmarks. You can set a schedule for when you want to look or track certain things. For each task, you can set a frequency for how often you want to do it, and for bookmarks you can set cooldowns for how often you need to check it. The idea is perforate helps you track the things you know you always need to do - bookmarks are recurring and tasks are things you want to do every day/week/month. ## How do I use it? Within Perforate I have 3 main schedules for different periods: * Morning schedule: includes tasks for getting up on time, working out, reading the news and so on. * Workday schedule: from 9-5 each day I see links for our finance reports in Xero, marketing checklists in Monday, Jira logs - all things that need to be reviewed, but all on hourly cooldowns - once I've checked the Jira board to see updates, I don't really need to see it again that day. * Weekend schedule: all the life admin tasks that make me feel "complete" - have I cleaned out the car, checked the mail, read tech blogs, pet tasks, etc... ## How did I build it? * The usual stack which we know and love: Django, Bootstrap, Heroku, some webcomponents & love. ## Where to next? I've never built and launched a direct user-facing, B2C product - so I've keen to add a payment processor to this for fun and fund hosting. Also, I think there are some cool team features I can add - if you have team tasks that need to be done routinely, being able to have a team stack would be cool. And adding a chrome/firefox plugin to support Perforate as a homepage. What I won't add is ads. Or social networking feature. Or opaque algorithmic views - just pure lists of your bookmarks. ## What can you do? If you're interested, sign-up (via email or Github) - I find it pretty useful, and so do some early beta testers. Give me some feedback below - I'd be very interested to hear your thoughts on features, pricing strategies, anything...

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Indie HackersFits the IH revenue-focused audience · Strong signals: started · 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: user, new, email · Missing: mac, agents, macos
89%89% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: month, way · Missing: mobile apps, ios, personal
41%41% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: ide, io · Missing: https docs, excited, just released
34%34% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
AppSumoMay struggle as an AppSumo deal · Strong signals: host, friendly · Missing: plus, platform, intuitive
25%25% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Strong signals: recurring · 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 · 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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