Where We Find Founder Intel: 7 Things We Track So You Don't Have To
Where does this stuff actually come from?
A few of you asked where we find this stuff. The honest answer: we check dozens of sources on a rotating basis — grant portals, funding announcements, AI tooling changelogs, Canadian ecosystem news, event calendars, open-source releases — and we discard most of what we read. What survives the discard is what we send.
There's no proprietary feed and no clever scraper. There's a list of categories we decided on in advance, and a rule that something only goes out when it clears the bar. That's the whole system.
We built it for ourselves. We're a small team making bets with limited money, and we kept getting burned by things we could have known — a grant that closed, a tool that would have saved a sprint, a program in our own city that we heard about after the cohort filled. So we started tracking it deliberately.
Then people started asking. Not once, and not casually — the same question, phrased about the same way, from founders who were doing a worse version of the same work in twelve open browser tabs at 11pm.
So we're going to start sharing it. A few times a week. No fixed day. It ships when there's something worth sending, and it doesn't ship when there isn't.
Why founders miss the things that would have changed their year
Here's the pattern we keep seeing, and we've lived it ourselves.
A founder finds out about a $50K non-dilutive grant nine days after the application window closed. Another spends three weeks building an integration that an open-source project already solved, well, for free. A third pays for a tool that a competitor's changelog quietly made obsolete last month.
None of these are intelligence failures. The information was public. It was sitting on a government website, in a GitHub release, in a newsletter someone else read. The expensive mistakes in a startup are almost never caused by information that didn't exist — they're caused by information that arrived unsorted, or three weeks after it mattered.
That's a sorting problem, not a searching problem. And sorting problems don't get solved by consuming more. They get solved by deciding, in advance, what you're looking for.
If that sounds familiar, it should. It's the same failure mode we spend most of our time arguing about on the product side: teams moving fast against inputs nobody ever defined. Vibe coding ships prototypes. Spec-driven ships products. The difference between the two isn't speed or talent — it's whether somebody wrote down what "right" means before the work started.
An information diet works exactly the same way.
The seven categories — and why it's the same seven every time
We track seven things. Not eight when we're feeling ambitious, not four when we're busy. Seven, defined before we went looking:
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💰 Grants — Open deadlines, who actually qualifies, and which are worth the paperwork
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🤖 Tech / AEO — What changed in AI tooling, and how to get found by the engines answering questions
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🇨🇦 Ecosystem — Canadian funds, raises, spinouts and programs — with a read on what it means for you
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🔥 Founder Pain — The expensive mistakes, named honestly, usually ours first
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📅 Events — What's on, who's in the room, and the one worth moving meetings for
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⚔️ Comparisons — Tools side by side — including honest ones where we're in the running
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🛠️ Tools & Agents — Free and open-source things you can install today
The constraint is the product. Because the categories are fixed, a source either fits one of them or it goes in the bin, and that decision takes two seconds instead of twenty minutes of "huh, interesting." Most weeks, four of the seven have nothing worth reporting. That's fine. Silence in a category is information too.
The Comparisons one deserves a note, since we're in that market. When we put Lovable, Cursor, Replit, or Devin side by side with what we do, we try to be straight about it: those tools are genuinely fast at turning a prompt into something that runs. If you need a clickable thing by Thursday to show an investor, they're excellent, and we'll say so.
The gap is what happens next. None of them establish what the product must actually do — the business rules, the edge cases, the data model, the things that only surface when a real customer does something unexpected. So the prototype demos beautifully and then gets rebuilt, on your budget, once someone tries to run a business on it. That's the rebuild cycle, and it's expensive precisely because it feels like progress right up until it doesn't. Codalio is built to skip it — spec first, then code, so the thing you demo and the thing you ship are the same thing.
What to do with this on Monday
You don't need our list. You need a list.
Sit down for twenty minutes and write out the three to five categories that would actually change a decision you're making this quarter. Not "AI news" — something like "grants my company qualifies for in the next 90 days." Vague categories collect everything, which is the same as collecting nothing.
For each one, write a single line defining what qualifies. Ours are above; steal the format. Then write the discard rule, which is the part everybody skips: if it doesn't fit a category, you don't read it, you don't save it, and you don't feel bad about it.
Finally, name who reads it and when. Fifteen minutes, twice a week, one person. If it isn't on someone's calendar, it isn't a system — it's an intention, and intentions don't catch closing grant deadlines.
That's the same discipline we bring to the build itself. Codalio is the only AI platform that takes non-technical founders from idea to PRD to working prototype — without the rebuild cycles that come from skipping the spec.
Start with the spec, not the search
If defining your information categories felt useful, the same exercise applied to your product is worth considerably more — that's the work Codalio automates, turning what you know about your business into a requirements document an engineer can build from.
For the daily version of the seven categories, plus free workshops, the Discord is open: join here.