Alexis Rondeau

Bookmarks

5632 bookmarks · page 37 of 226

Bookmarked from LindyMan @PaulSkallas

Always a good reminder that the people making these products are not using them. Zuck is spending his time doing MMA training, running a business, reading, buying Hawaiian real estate and talking to people.

This is meant for you. Not him.

He sells you plastic and rubber so he can buy wood and stone

Bookmarked from signüll @signulll

news is basically engineered anxiety. it’s abstract, external, & almost always negative. nothing about it affirms your agency or intimacy. but people cling to it because it’s a cheap way to feel informed, like they’re plugged into the world.

tldr: reading most news is horrible for you.

Saved on Hacker News · submitted by jerryliu12

Hi HN! I've been building Dayflow, a macOS app that automatically tracks what you're actually working on (not just which apps you have open).

Here's what it does:

- It creates a semantic timeline of your day;

- It does it by understanding the content on your screen (with local or cloud VLMs);

- This allows you to see exactly where your time went without any manual logging.

Traditional time trackers tell you "3 hours in Chrome" which is not very helpful. Dayflow actually understands if you're reading documentation, debugging code, or scrolling HN. Instead of "Chrome: 3 hours", you get "Reviewed PR comments: 45min", "Read HN thread about Rust: 20min", "Debugged auth flow: 1.5hr".

I was an early Rewind user but rarely used the retrieval feature. I built Dayflow because I saw other interesting uses for screen data. I find that it helps me stay on track while working - I check it every few hours and make sure I’m spending my time the way I intended - if I’m not, I try to course correct.

Here’s what you need to know about privacy:

- Run 100% locally using qwen2.5-vl-3b (~4GB model)

- No cloud uploads, no account

- Full source available under MIT license (https://github.com/JerryZLiu/Dayflow)

- Optional: BYO Gemini API key for better quality (stored in Keychain, with free-tier workaround to prevent training on your data)

The tech stack is pretty simple, SwiftUI with a local sqlite DB. Uses native macOS apis for efficient screen captures. Since most people who run LLMs locally already have their tool of choice (Ollama, LLMStudio, etc.), I decided to not embed an LLM into Dayflow.

By far the biggest challenge was adapting from SOTA vision models like Gemini 2.5 Pro to small, local models. My constraints were that it had to take up <4GB of ram and have vision capabilities. I had to do a lot of evals to figure out that Qwen2.5VL-3B was the best balance of size and quality, but there was still a sizable tradeoff in quality that I had to accept. I also got creative with sampling rates and prompt chunking to deal with the 100x smaller context window. Processing a 15 minute segment takes ~32 local LLM calls vs 2 Gemini calls!

Here’s what I’m working on next:

Distillation: Using Gemini's high-quality outputs as training data to teach a local model the patterns it needs, hopefully closing the quality gap.

Custom dashboards where you can track answers to any question like "How long did I spend on HN?" or "Hours until my first deep work session of the day

I'd love to hear your thoughts, especially if you've struggled with productivity tracking or have ideas for what you'd want from a tool like this.

Bookmarked from Cody Schneider @codyschneider

the best way to get inbound leads as a startup founder

start a podcast about your industry

and then invite idea customers on the show

just cold email them and they will respond yes because it is something they want

they want digital PR

then give them clips for their social to post when the episode drops

their personal audience has ideal customers in it

they will see clips, listen to show, and inbound

repeat for 12 months every week

build an owned media channel that compound

Bookmarked from Starter Story @starter_story

woah...

Just talked with a guy making $30K/month from his mobile app.

Solopreneuer. 100% bootstrapped.

The sauce?

App Store Optimization (ASO)

  • ignores the most popular keywords
  • Uses localization to target specific niches

Results:
– 4M+ downloads
– 400K+ MAUs
– 10K+ paid subscribers

What should we talk about on the channel?

Bookmarked from guo . @thejustinguo

-atomic habits: little things add up

-almanack of naval ravikant: lock in

-zero to one: competition soo bad 🥹

-rich dad poor dad: make money work for you

-how to win friends & influence people: listen

-think and grow rich: believe in yourself

just saved you 50 hours

Bookmarked from Wilmer Terrero @wilterrero

How I find app ideas that actually make money:

  • Set App Store language to a different country
  • Browse top paid apps in utilities/productivity
  • Find apps with rankings from 800-1000 (no crowded niche)
  • Analyze if there are more apps like this
  • Check if they're not attached to a brand

Last month I found a niche German education app making bank with low competition

Bookmarked from GREG ISENBERG @gregisenberg

the CLEAREST path to building a $100k MRR mobile app

(from a guy who's advised apps that have gotten hundreds of millions of downloads)

step 1: pick a habit (already crushing)

– the fastest path to $100k MRR isn’t inventing something new, it’s cloning what already works.
– proven habit categories: fitness, journaling, language, meditation, finance.
– people already pay here, they expect daily use, and habits = sticky revenue.

step 2: add the AI unlock

– once you’ve got the habit, layer AI on top to create a “wow” moment competitors don’t have.
– examples:

  • journaling app → AI reflects back themes in your writing like a therapist
  • fitness app → AI vision corrects your form in real time
  • finance app → AI predicts overspending before it happens
  • language app → AI roleplays conversations in voice/video

step 3: freemium + subscription model

– free tier must give immediate value (otherwise no word-of-mouth, no viral content).
– paywall for deeper features or unlimited usage.
– price:~ $5/week
– annual plans with discounts (40–50%) drive cash upfront.

  • test copy, screenshots, paywall timing relentlessly. it can 3–5x your LTV.

step 4: distribution = TikTok + IG + creators

– build a playbook of 20+ organic TikTok/IG posts tied to your use case (Duolingo memes, Notion desk setups, Strava challenges).
– hire a part-time creator (or be one) pumping out 3–5 clips a week. volume matters.
– partner with micro-influencers (10k–100k) who feel authentic to your niche... stay true to a CPM that works for you ~$5 for example
– run paid TikTok/IG ads → optimize for cheap installs (<$2).

  • start with English-speaking Tier 1 markets for ARPU, but layer Tier 2 markets for cheap volume. you’ll find CPI in LatAm/India <$1. Even Canada, Australia etc are cheaper than the US.

step 5: paid search/ASO

  • apple search ads and google uac are the hidden workhorses for mobile apps.
  • search ads catch users with high intent right in the app store (“journaling app,” “habit tracker”) and consistently convert 2–3x better than social, while uac spreads across google, youtube, and play store to drive cheap installs at scale (especially in tier 2 markets).
  • pair both with aso (titles, screenshots, reviews) so the keywords you buy also lift your organic rankings.

step 6: retarget everything

– pixel every install/visit and run retargeting on TikTok, IG, YouTube, Reddit.
– 90% of users won’t pay on day 1. retarget with product clips + testimonials.
– cost of acquisition drops dramatically once you layer retargeting across channels.

  • implement Amplitude/Mixpanel, Firebase, Superwall, RevenueCat early so you actually know which creative, cohorts, and experiments are moving numbers.

step 7: design viral loops inside the product

– exportable content: if it’s fitness → progress screenshots, if it’s journaling → daily streaks, if it’s learning → shareable quizzes.
– leaderboards, streaks, or badges that push people to flex on social.
– make sharing feel like part of the product experience, not an afterthought.

step 8: retention flywheel

– onboarding is everything. get to the “aha” moment in <2 minutes.
– nudge users with daily push notifications that feel like a friend, not spam.
– weekly emails with progress reports (“you saved 4 hours this week” / “you learned 27 new words”).
– community layer (Discord/Reddit-style group) to reinforce habit loops.

math to $100k MRR (at $5/week, $4 CPI)

$5/week ≈ $22/mo per sub.
need ~4.6k paying subs to hit $100k MRR.
at 8–10% conversion → need 46–58k active installs.
assume ~50% of installs stay active → ~92–116k total installs.
at $4 CPI → $368k–$464k in ad spend (gross).

so: $400k-ish in paid media to reach $100k MRR at $4 CPI… unless you juice it with organic virality, influencers, or geo-arbitrage (Tier 2 markets <$1 CPI).

tldr;

  • app store gold rush 2.0 is here. ai + paid search + aso = unfair leverage. the window won’t stay open long.
  • find ideas in your own life or grab them from @ideabrowser's website (free/paid plans)
  • note: building any startup isn't easy
  • mobile apps felt dead for years. now they’re alive again.
  • this is the most generational time to build since 2008-2013 mobile app heyday.

people will make fun how long this tweet is.

but if you've gotten this far...

i hope this fires you up
i hope this gets your creative juices
i hope you share this with a friend

happy building

i'm rooting for you.