Ankush Panday's February 2026 post on the five websites he visits daily as a PM is well-meaning, useful in 2020, and obsolete in 2026.
ProductHunt. Growth.Design. Medium. IndieHackers. TechCrunch. The list is reasonable. The workflow is a coping mechanism from the era before agents could read the web for you.
I want to do the rewrite. Same five sources. Five agents. Ten minutes a day instead of thirty. Better signal.
The short version
Ankush Panday recommends five daily PM websites: ProductHunt, Growth.Design, Medium, IndieHackers, TechCrunch. The list is reasonable as a 2020 workflow. In 2026 the signal-to-noise ratio at each site is roughly 1:50 and the 30-minute daily ritual converts to almost zero shipped work. The fix is to retire the website-visit habit and run an agent against each source. ProductHunt becomes a launch-triage agent. Growth.Design becomes a case-study summarizer. Medium becomes a synthesizer over a curated writer list. IndieHackers becomes a founder-pattern agent. TechCrunch becomes a funding-and-pivot agent. The stack runs on RSS plus Claude plus a daily digest. Six hours of one-time setup. Saves 100 hours a year and the signal quality is better, not worse.
For the broader argument about agent-led PM workflow, see The PM Agent Stack and Your AI Agent Fleet. For the synthesis-not-signal argument, see Ship Story: The Discovery Week I Ran With Three Agents and No Calls.
Why the daily website ritual is broken
Three reasons.
The signal-to-noise ratio at each site is too low. ProductHunt features 30+ launches per day. Maybe one or two are in your product space. Maybe one of those is strategically relevant. You skim 30 to find one. The same math holds for the other four sites. You spend the time hoping the signal will surface, and most days it doesn't.
Retention is near zero without triage. What did you read on TechCrunch yesterday? Last Tuesday? The website-visit workflow has no synthesis layer. The content goes in, leaves no trace, and your strategic thinking doesn't get better from it. The reading feels productive and isn't.
The opportunity cost is real. Thirty minutes a day, five days a week, 50 weeks a year. That's 125 hours. Compare to what 125 focused hours of evals, prototypes, or customer calls would produce. The ritual is a tax on the work you should be doing.
This is not a criticism of Panday or his readers. Until 2024 the website-visit workflow was the best available option, because synthesis was expensive and signal was scattered. In 2026 the cost curve flipped. Synthesis is cheap. The ritual is the cost.
The five replacements
One agent per source. Each agent has a system prompt, a source feed, and a delivery channel.
1. ProductHunt launch-triage agent
What it does. Reads ProductHunt's daily launches. Filters to the two to three that match your product space and one of your active bets. Produces a one-line strategic implication per launch ("Acme launched a Slack-native customer feedback agent; closest to our discovery pillar; worth a 15-minute teardown by Thursday").
Stack. ProductHunt RSS feed → Claude with a system prompt and a short brief file describing your product and active bets → daily Slack DM at 8am.
Eval. Each week, at least one launch from the digest should make it into a strategic conversation. If three weeks pass with no conversation, the brief file is stale.
2. Growth.Design case-study summarizer
What it does. Reads new Growth.Design case studies (Growth.Design publishes 1-3 per week). Returns the 1-3 patterns relevant to your current activation, retention, or pricing work. Skips the rest.
Stack. Growth.Design RSS or scrape → Claude with the brief file → weekly email Monday morning.
Eval. At least one Growth.Design pattern per month should get tried in your product. If nothing converts to a test, the agent is surfacing the wrong patterns or your team is not running the tests.
3. Medium PM-content synthesizer
What it does. Reads new posts from a curated list of PM writers you actually rate (Lenny, Jackie Bavaro, Marily Nika, Peter Yang, Department of Product, Simon Willison for the AI craft side). Returns titles, links, and a one-line synthesis per post. Flags the two or three that are worth your full read.
Stack. Custom RSS bundle of the writers you trust → Claude → weekly email Friday.
Eval. Of the two or three flagged posts each week, you should fully read at least one. If you stop reading any, the curation list is wrong (most likely too long, drop to 8 writers max).
4. IndieHackers founder-pattern agent
What it does. Reads the IndieHackers forum and podcast feeds. Returns monthly the 3-5 recurring patterns in bootstrapping, pricing, or growth that are showing up across multiple founder posts. The monthly cadence matters because daily reads of IndieHackers are too noisy to surface patterns.
Stack. IndieHackers RSS + podcast transcript feed → Claude → monthly Notion entry.
Eval. Each monthly pattern should be defensible (cited across 3+ posts). If the agent is fabricating patterns from single posts, raise the threshold or use a different model.
5. TechCrunch funding-and-pivot agent
What it does. Reads TechCrunch's funding and product news. Returns weekly the 3-5 funded or pivoting companies in your space, with one line on strategic context ("Acme raised Series B at $200M post-money; they're going up-market; pressure on the enterprise PM market we're hiring against").
Stack. TechCrunch RSS → Claude with the brief file → weekly Slack post Tuesday.
Eval. Each weekly entry should connect to your strategic context (your hiring plans, your competitive landscape, your pricing). If the entries read as generic news, the brief file is too light.
The stack and the setup time
The whole agent stack runs on:
- An RSS or scraping layer (Feedly, RSS.app, or a 50-line Python scraper, depending on the source)
- Claude with a system prompt per agent and a shared brief file
- A delivery layer: Slack DMs, email digests, or Notion entries
Setup time: about six hours for all five agents, including the brief file and the eval rubric for each.
Ongoing time: about 10 minutes a day to read the digest output. Compare to 30 minutes a day on the website ritual. The savings are real and the signal is sharper.
What stays in the workflow
I am not arguing PMs should never visit a website. Three cases for live browsing remain.
Real-time research. When you have a specific question that needs answering now ("what's the pricing for the new Linear AI features"), browse directly. The agent stack is for ambient awareness, not for specific questions.
The deep read. Once or twice a week, sit with a single long-form piece (a Lenny essay, a Marty Cagan deep cut, an Anthropic engineering post) without an agent in the loop. The deep read builds the mental model the agents can't.
The product itself. Spend time inside your product, your competitors' products, and adjacent products. No agent replaces this. The 30 minutes you reclaim from the website ritual goes here.
The Panday update
The honest update to Panday's post in 2026 is not "here are five better websites." It is "here are five agents that read those websites for you, and here is how to spend the 100 hours you get back."
This is the pattern I'd recommend for most PM-content roundups. Don't add a sixth website. Don't curate a longer list. Convert the list into an agent stack. The conversion is the move.
The five-agent system prompts, the brief-file template, and the eval rubric per agent are in the downloadable recipe and on the toolkit. For the broader agent fleet, see Your AI Agent Fleet.
Sources: Ankush Panday, "Top 5 Websites I Visit Daily as a Product Manager", ProductHunt, Growth.Design, IndieHackers, TechCrunch, Lenny Rachitsky, Simon Willison, Marily Nika.
Further reading
Also on Medium
Full archive →AI Agents and the Future of Work: A Pixar-Inspired Journey
What product managers can learn about AI agents from how Pixar runs a film team.
Many AI Agents Are Actually Workflows or Automations in Disguise
How to tell agents from workflows from cron jobs, and why it matters for what you ship.
Frequently asked
What were Ankush Panday's five daily PM websites?+
ProductHunt (new product launches), Growth.Design (case studies on growth), Medium (PM thought leadership), IndieHackers (founder stories and bootstrapping), TechCrunch (funding rounds and tech news). His February 2026 post argued every PM should visit all five every day. It was a 2020 workflow when he wrote it.
Why is the website-visit workflow obsolete?+
Three reasons. (1) The signal-to-noise ratio at each site is roughly 1:50 in 2026. You spend most of the time skimming things that don't apply. (2) You forget what you read 24 hours later because there's no triage layer. (3) The 30 minutes per day adds up to 130 hours per year on an activity that has near-zero conversion to shipped work. The workflow is sunk-cost ritual, not signal acquisition.
What replaces each of the five sites with an agent?+
ProductHunt → a daily launch-triage agent (filters to the 2-3 launches in your space, with a one-line strategic implication). Growth.Design → a weekly case-study summarizer (the 1-3 patterns relevant to your current activation work). Medium → a weekly PM-content synthesizer (titles + one-line synthesis from the writers you actually rate). IndieHackers → a monthly founder-pattern agent (recurring patterns in the bootstrapping data). TechCrunch → a weekly funding-and-pivot agent (companies in your space, with strategic context).
What stack does this run on?+
An RSS or scraping layer (Feedly, RSS.app, or a small Python scraper) for the source content. Claude with a system prompt per agent. A daily Slack or email digest. Optionally a Notion database for the strategic context the agent reads each run. Total setup: about six hours of one-time configuration.
How much time does the agent stack save versus the website ritual?+
The five sites take about 30 minutes a day if you skim, more if you read. The five agents take about 10 minutes a day combined (you only read the digest output, not the source). That's 20 minutes a day, 100 hours a year. The bigger win is signal quality, not time. The agent surfaces things you would have missed in the scroll.
What's the eval for whether the agents are working?+
Three checks per agent. (1) Spot-check: pick three items from this week's digest. They must be relevant to your active bets. (2) Coverage: at least one item per week makes it into a strategic conversation. (3) Surprise: at least one item per month tells you something you wouldn't have caught on your own. If any agent fails these for two weeks, retune the prompt or kill the agent.
Is this just a Feedly with extra steps?+
No. A feed reader gives you the raw stream. The agent gives you the filtered, contextualized, prioritized output. The difference is whether you do the synthesis or the agent does. In 2020 the feed reader was the right tool because synthesis was cheap and signal was scarce. In 2026 signal is everywhere and synthesis is the bottleneck. The agent does the synthesis.
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