scanr
Joined 15 years ago
Joined 15 years ago
Fraud reaches people through ads, cloned brand sites, counterfeit shops and AI-generated video, and it moves faster than any manual review. InfoHawk detects it while it is still running, correlates it across platforms and formats, and surfaces it early enough for our customers to act. We are a small team of engineers plus security, privacy and fraud specialists. Pre-seed, $2.25M led by Moonshots Capital: https://www.infohawk.com/news/2026-06-08-pre-seed-funding-an...
You’d own how data gets in: scrapers and collectors that survive source changes, official APIs where they exist, undocumented endpoints where they don’t. Sources break constantly. Can you figure out how to use AI to spot the change and adapt automatically? Stack: TypeScript, Node, SvelteKit, Postgres, Playwright, heavy AI-assisted development.
We’re looking for ~3-5 years building scraping or integration systems in production, but if you’re a great engineer who doesn’t tick every box we’d still like to hear from you. UK-based for London, US-based for NYC; we cannot sponsor visas. Two of our three founders are engineers, one in each city, and you’ll work with them directly.
[email protected]
Fraud reaches people through ads, cloned brand sites, counterfeit shops and AI-generated video, and it moves faster than any manual review. InfoHawk detects it while it is still running, correlates it across platforms and formats, and surfaces it early enough for our customers to act. We are a small team of engineers plus security, privacy and fraud specialists. Pre-seed, $2.25M led by Moonshots Capital: https://www.infohawk.com/news/2026-06-08-pre-seed-funding-an...
You’d own how data gets in: scrapers and collectors that survive source changes, official APIs where they exist, undocumented endpoints where they don’t. Sources break constantly. Can you figure out how to use AI to spot the change and adapt automatically? Stack: TypeScript, Node, SvelteKit, Postgres, Playwright, heavy AI-assisted development.
We’re looking for ~3-5 years building scraping or integration systems in production, but if you’re a great engineer who doesn’t tick every box we’d still like to hear from you. UK-based for London, US-based for NYC; we cannot sponsor visas. Two of our three founders are engineers, one in each city, and you’ll work with them directly.
[email protected]
“THE AI MANIFESTO: TOTAL PURGE”
Call me when they complete the human trials
Step 1. Helpful person starts committing useful PRs and offers to help out until they get commit rights. I don’t think this is hard to achieve generally.
Step 2. Organised campaign of grumpy users complaining about how poorly the software is being maintained along with a bunch of pile-ons.
Step 3. Benign committer decides it’s all too much and quits. The general feeling that open source committers are undervalued makes this more likely.
Step 4. Supply chain attack by new evil committer.
The private companies aren’t paying for the damage they are causing. It’s ultimately borne by the public.
Very similar to a factory that poisons a river if there’s no disincentive not to.
Better would be if we could factor in the cost to the environment into their revenue. This would better align incentives.
My experience in tech has been that to hire a good employee is expensive. Consuming time from recruiters, HR and hiring managers.
Companies that I’ve worked at that don’t currently require people often lay off the recruiters and HR folk as they scale down hiring.
Here are mine:
* Apple rumoured to be working on sunglasses similar to Meta Ray-bans
* Regulation is passed specifically to limit what artificial partners can do. Possible limitations: alignment required, limits in ERP, limits on session time. Best bet is China.
* Stronger regulation is passed to limit unauthorised cloning of people’s voices in one of the major economies. This beyond current weak IP and privacy laws.
* AI becomes a scapegoat in several major elections.
What I got right last year:
- text and image generating AI is hugely disruptive to education and content generation
This was pretty obvious
- Inflation eases, stock market recovers
Less obvious at the time but still likely
- A Twitter alternative breaks through.
Who woulda thunk that it would be Meta with Threads
- One of the big tech companies joins the fediverse (Microsoft most likely)
Once again, Meta for the win with Threads joining the fediverse
Now, nobody look back at all the predictions I made that didn’t happen.
Also, fairly gutted that Reddit hobbling its API was my 2022 prediction. I’m clearly prognosticating too far into the future.
* Regulation is passed specifically to limit what artificial partners can do. Possible limitations: alignment required, limits in ERP, limits on session time. Best bet is China.
* Stronger regulation is passed to limit unauthorised cloning of people’s voices in one of the major economies. This beyond current weak IP and privacy laws.
* AI becomes a scapegoat in several major elections.
What I got right last year:
- text and image generating AI is hugely disruptive to education and content generation
This was pretty obvious
- Inflation eases, stock market recovers
Less obvious at the time but still likely
- A Twitter alternative breaks through.
Who woulda thunk that it would be Meta with Threads
- One of the big tech companies joins the fediverse (Microsoft most likely)
Once again, Meta for the win with Threads joining the fediverse
Now, nobody look back at all the predictions I made that didn’t happen.
Also, fairly gutted that Reddit hobbling its API was my 2022 prediction. I’m clearly prognosticating too far into the future.
Email me at jamiemccrindle at gmail.com