ProveIT
29 posts

ProveIT
@proveIT_appnow
Prove your photos/videos are real - so seeing can mean believing again iOS: https://t.co/txCCeSUU3b
Katılım Nisan 2026
103 Takip Edilen46 Takipçiler

In case anyone wants to verify it proveit-app.com/verify/3c7ba54…
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@proveIT_appnow This is nonsense, during a rally cars aren't allowed in the area.
You've just made yourself look very silly for the whole internet to see.
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@Investor_NICK_ This is exactly why evidence workflows need to move upstream.
If a dispute depends on receipts or screenshots after the fact, everyone ends up arguing over whether the evidence is real.
The solve is to verify at moment of capture and avoid AI detection after the dispute starts.
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@slantchev @alex_kokcharov This is a refreshingly good-faith exchange.
The hard part is that verification still depends on someone noticing, checking, and correcting after the image has already traveled. We need better context attached to images before they ever get shared.
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@alex_kokcharov It’s embarrassing for me to have made such a mistake but it would have been intolerable not to correct it. Thanks for pushing the point.
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A Tale of Two Authoritarian Regimes, a state-financed capitalist on the left and the pathological kleptocracy on the right.
The contrast between the 250,000-resident Chinese Manzhouli City and the 10,000-resident Russian Zabaykalsk that borders it, needs to words to explain.
And that’s even accounting for the fact that China invests in its border cities to project soft power abroad while Russia’s imperial model sucks everything toward the Moscow-St Petersburg core.

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We’re entering a world of infinite output.
AI can generate code, designs, and create even entire product roadmaps in seconds. Building is getting cheaper by the day.
But judgment isn’t.
It’s no longer about who can produce more. It’s about who can decide better.
Taste and discernment isn’t just aesthetics.
It’s:
- Cutting a paragraph that sounds smart but says nothing
- Knowing which slide to delete, not which one to add
- Choosing the one priority that actually moves the needle
And ignoring the flood of “good suggestions” that dilute focus.
The hardest part of most white-collar work isn’t generating options anymore.
It’s choosing well.
And yet most tools optimize for speed and volume, not helping people get better at deciding.
I’d love to see startups building toward products that help individuals train better judgement over time.
What would it look like to create:
- Tools that train people to attach real probabilities to their beliefs - and see, over time, where they tend to overestimate or underestimate
- Systems that can make decision-making visible, trackable, and improvable
- Tools that train you to prioritize ruthlessly, that is to pick the few things that matter - and get comfortable killing the rest
In an age of infinite leverage, leverage without taste creates noise.
I’m especially excited about founders building products that strengthen human discernment.
In a world of abundance, discernment is the scarce asset.
If you’re building here, DM me and let’s talk!
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A core ProveIT decision:
we are open sourcing the verification layer.
If you claim to certify content as authentic, original, and camera-captured, users shouldn’t have to blindly trust the company behind it. Especially when you’re early.
So we open sourced our first public verifier for ProveIT records:
device attestation evidence
C2PA manifest metadata
blockchain anchoring evidence
original-file hash checks
verification record structure
This is the first step toward a fully open verification core.
The app can earn adoption.
The system should earn trust.
Repo: github.com/prove-it-org/o…
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This is a perfect example of why image provenance is so important for small businesses.
It's not just “is this AI-generated?” — it's “who uploaded it, where did it come from, and can the business prove which images are actually theirs?”
Platforms need stronger proof-of-origin for visual evidence.
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If FRAUD is an art.
A guy uploads an AI-generated photo to a company's Google Business Profile, which includes his own company name and phone number.
The company owner markets his company, people come, and see the photo.
And call the FAKE number directly.
Initially, the real owner loses customers.
And,
The FAKE guy is stealing customers from there for free.

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@billybinion This crash course will be obsolete in 18 months tops, when it will be impossible to distinguish the difference
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