HashCam
AI can fake content. HashCam proves what’s real.
21 followers
AI can fake content. HashCam proves what’s real.
21 followers
AI can now generate extremely realistic photos, videos and voices. This creates a new problem: how can we prove what is real? HashCam seals photos, videos with tamper-proof cryptographic proof stored on the blockchain. Capture authentic media, verify files instantly, and generate proof certificates. In the AI era, the most valuable asset online will not be "content". It will be "verifiable proof".
Free Options
Launch Team
Render: Get up to $100K in startup creditsCloud infrastructure for founders who want to move fast and NOT break things
Promoted
@sebastiaan_de_voogd Very-very timely stuff! We’re moving into a world where evidence itself is becoming unreliable by default. What I find interesting about HashCam is that you've built authenticity as INFRASTRUCTURE, which is super cool! From my IP and legal perspective, I immediately see possible use cases in terms of evidence in disputes (copyright, design infringement, contract performance), chain of custody for digital assets, proof of creation and timing and of course, authenticity of marketing and sustainability claims. If this works at scale (which I am convinced it will), it shifts the burden from ‘can you prove it?’ to ‘can you challenge it?’, which is a very different legal dynamic. And in fact, the real opportunity, in my view, is in the integration into workflows where trust currently depends on intermediaries. Curious to see how this evolves further, especially in regulated environments.
@boicovawynants Maria, this is such a sharp take — thank you 🙏
The shift you describe from “can you prove it?” to “can you challenge it?” is exactly how we’re thinking about this. Instead of trust being assumed, it becomes something you can verify independently.
The legal + chain-of-custody angle you mention is especially interesting for us — we’re already seeing early signals there.
I’m curious: in your view, what would be the biggest barrier to adoption in regulated environments — technical integration, legal recognition, or something else?
My answer would be: incentives! Regulated environments don’t adopt based on what’s possible but on what they’re forced to rely on. And that pressure usually comes from specific gatekeepers: regulators, insurers, auditors, certification bodies, or large corporates through procurement requirements. So I believe adoption will come from "this is required" or "this reduces risk in a way we can quantify".
Speaking concrete examples, regulated reporting, where false claims have penalties - there the incentives are straightforward. Maybe also supply chains, especially with digital product passports coming in the EU. Now this, is really something to look into. But also high-value evidence flows, where timing and integrity decide outcomes... but here the caveat is that, for instance, until judges, regulators and counsels see this repeatedly, it remains something you argue about instead of something you rely on. And closely linked to that: standardisation. If proof formats are not recognised, interoperable, or widely accepted, you stay in argument mode. The real shift happens when this becomes something others are expected to trust by default.
If you manage to anchor HashCam in one of those environments and, perhaps, make it invisible in use (like, a default to fall back on, which you do by incentives), that will be Big.
@boicovawynants This is such a thoughtful take — thank you, Maria. You’ve articulated something I’ve been feeling but couldn’t put into words this clearly.
The point about incentives and “default trust” really resonates. We’re definitely seeing that early signals matter less than making this something stakeholders have to rely on — whether through compliance, procurement, or risk reduction.
Also love your framing of “argument mode vs. reliance mode.” That’s exactly the shift we’re aiming for with HashCam: from something you defend, to something people simply expect and trust.
The EU digital product passport angle is especially interesting — that’s an area we’re starting to explore more seriously.
Really appreciate you taking the time to share this 🙏
I had the honours to get a a short in person introduction by Sebastian.
I was impressed by the ease of use and the endless possibilities of the app. Even in my professional financial background this tool can have a significant impact. In audit, everthing needs tot be documented. By using this tool we have realiable proof of our stockcounts and this can be documented in our audit files.
@christianfinancialauditor Thank you so much for your kind words, Christian — really appreciate you taking the time to share this 🙏
It’s great to hear that you see the value in an audit context. That’s exactly one of the use cases we had in mind: making proof and documentation effortless, reliable, and ready when it matters most.
Would love to hear how you end up using it in practice — your feedback can help us make it even better!
This is what you really need.
I am going to use it whenever I take photos for potential legal purposes: car accidents or damage, input for insurance (they won't be happy...).
But also when you rent a car, for mileage tracking, technical issues, etc.
Furthermore, I am going to introduce it to my clients who provide contractual support services. Imagine being able to add photos and videos with HachCam seal to "prove" the service provided or the current status of relevant infrastructure.
This is simply amazing!
@regis_vanden_bussche Wow, Regis — this is exactly the kind of real-world use we built HashCam for 🙌
Love how you’re thinking about it: from insurance and legal proof to service documentation and infrastructure status. That “proof layer” is where things get really powerful.
And introducing it to your clients is huge — that’s how we see this scaling: making trusted documentation a standard, not an exception.
Really appreciate your support — and curious to hear which use case you try first 🚀
🤷♂️🤷♀️WTF!
We launched HashCam on Product Hunt at 09:00.
At 09:00 exactly… the first messages came in:
“We can get you 300 upvotes.”
“All organic. Not bots.”
“$50 per 100 votes.”
Let that sink in.
This is exactly what’s broken in the system:
❌ Fake traction
❌ Bought visibility
❌ Manufactured trust
And then we wonder why people struggle to know what’s real.
🧩 At HashCam, we’re building the opposite.
✅ Proof instead of claims
✅ Transparency instead of manipulation
✅ Trust based on verifiable data
So no — we’re not buying votes.
Let’s play it fair 😉
If you believe in honest products and real traction, your support means everything 🙏
@willy_van_ounsen Love this example — rental cars are such a perfect use case. It’s one of those situations where a quick moment of proof can save hours (or days) of back-and-forth later.
What’s been fascinating for me is exactly what you’re pointing at: people keep finding these very practical, high-stakes moments where “just having a photo” isn’t enough anymore — it needs to be verifiable.
Really appreciate you trying it out and sharing this 🙌
@willy_van_ounsen Thanks a lot Willy — really appreciate you trying it out! 🙌
That rental car use case is such a perfect example. It’s exactly those “he said / she said” moments we’re trying to eliminate with verifiable proof.
Love that you see the insurance angle too — that’s where things can get really impactful, really fast.
Curious: would you mainly use it for personal situations like rentals, or also in a professional context?