InfoHawk | Software Engineer | London, UK or NYC | REMOTE (UK or US), occasional onsite | Full-time | https://www.infohawk.com
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.
This could be bad for supply chain attacks. Basically the xz hack.
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.
So might it be useful to have some mechanism to check if the 'maintainer' (owner/principal committer/?? - what Peter Murray-Rust used to refer to as the 'Dr Who') changes?
Like, when bumping the version on a dependency, the security system could check if the maintainer has changed, then you could go and double-check any changes.
London seems to manage this petty well. I think it’s quite healthy for a city to commingle folk from different income groups rather than house them in specific areas.
How is the government stealing your income or destroying the value of your property? Seems a bit hyperbolic.
And if the free market solves this, why are we in this situation in the first place? Shouldn't the free market have solved this already? Instead we have piles of empty houses/buildings and more homeless than ever before.
Because there is no free market in housing whatsoever.
Owning land doesn't give you the right to build anything. You need planning permission - which means permission from the local council, local homeowners and consultation, etc. which gives the NIMBY attitude so much power.
There aren't piles of empty houses. There aren't enough houses at all.
> And if the free market solves this, why are we in this situation in the first place? Shouldn't the free market have solved this already? Instead we have piles of empty houses/buildings and more homeless than ever before.
There is no 'situation'. Rational participants in the free market mostly have housing. The issue is that there is a widely available drug (fentanyl and meth too) that makes people behave irrationally, and thus the free market principles stop applying, since they presume a basic level of participant rationality. The fix from a government perspective is to remove the agency of those who are so drug addled that they cannot make good decisions.
The posts you are responding to said "low income", "poor" and "different income groups". The classism required to go from that to "criminals" is very disturbing.
London has sky high rents for young professionals while also taxing them exorbitant amounts that ends up subsidize social housing for "economically inactive" people. I would not call that efficient.
Looks like there are a few of these threads sadly. Dang is there a way to make a definitive one?
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.
* 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.
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.
james@infohawk.com
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