DCP hit some wild numbers in the last 30 days:
2541 npm downloads
93 desktop installs
108 Product Hunt upvotes
250+ developers cloning code
But stats don't tell me what I really need to know.
How are you using it? What do you love? What needs fixing?
Join discord 👇
The next big bottleneck in AI might not be intelligence.
It might be infrastructure and security 👀
1️⃣ @betterdbhq
AI apps are generating more traffic, more queries, and more caching complexity than ever.
What’s interesting here is the move toward “self-optimizing” databases:
• monitoring Redis/Valkey performance
• analyzing slow queries
• automatically improving cache behavior
• even letting AI agents suggest optimizations
Less reactive debugging.
More systems fixing themselves before things break.
2️⃣ DCP
A lot of AI agents today still handle sensitive keys in risky ways:
.env files, memory access, exposed configs, etc.
DCP takes a very different approach:
permissions stay encrypted locally, agents only get limited access, and approvals happen directly through controlled prompts/apps.
Basically:
AI agents with guardrails instead of unlimited trust.
The industry spent the last few years asking:
“Can AI do this?”
Now the bigger question is:
“Can AI do this safely and reliably at scale?”
👉 What concerns people more right now:
AI performance or AI security?
@k_ivanow@theiftakhar
#buildinpublic #ai #developers #cybersecurity #opensource #infrastructure #startups #productwatch
ERC-8257 feels like an important missing piece for agent tools
x402 = payment
ERC-8257 = tool access
DCP = user permission
Because agents shouldn’t need your raw keys to use paid tools.
They should request permission, operate within limits, and leave an audit trail.
@ProductHunt DCP is in for Alpha Day.
Our bet is simple: AI agents need permission systems, not private keys sitting in .env files.
Excited to see what everyone is launching tomorrow.
DCP is permission.
A local, non-custodial vault for agent approvals.
Your keys stay encrypted on your machine.
agent asks. you approve.
The vault signs internally.
It’s how agents act without ever holding your keys.
DCP makes agents safe for real work
https://t.co/s170CvACBv
@theiftakhar@NousResearch X bookmarks are where good ideas go to die.
If this can turn them into actual strategy/content instead of another search box, that’s genuinely useful.
@theiftakhar With AI agents doing more trading and bridging, this is why safe controls matter. DCP lets your agents (like Hermes or OpenClaw) use bridges and wallets safely — with spending limits, one-tap approvals, and your keys never leaving your device. No single mistake drains everything.
Hackers Don’t Attack Technology. They Attack Trust.
Every era of the internet has its own free candy van.
In the website era, it was a link.
Click here.
Download this.
Your account has been locked.
The scam was simple: get you to visit the wrong website, download the wrong file, or type your password into a fake page.
The pattern was:
curiosity → click → credential theft/malware
Scammers didn’t need to break the internet.
They just needed you to trust a link.
Then came social media
Now the scam wasn’t just a link.
It came from someone who looked familiar.
A hacked friend account.
A fake giveaway.
A fake brand support page replying faster than the real one.
Cambridge Analytica harvested 87 million profiles through a personality quiz
The pattern became:
social proof → urgency → fake authority → money/credential theft
Scammers learned that people trust people more than websites.
Then came mobile apps.
The interface changed again.
Fake banking apps.
Clone apps.
Permission traps.
SMS phishing.
Your delivery failed, install this app.
The pattern became:
convenience → permission request → device compromise
You thought you were installing help.
You were installing access.
Then came Web3.
And this was the scammer’s dream.
Because now the user wasn’t just logging in.
The user was signing transactions.
So they invented a new bait:
Free NFT.
Airdrop.
Allowlist.
Mint pass.
Shitcoin dropped into your wallet.
Then they got you to connect your wallet to a malicious dApp and sign something you didn’t understand.
The pattern became:
free asset → wallet connection → blind signature → wallet drained
In Web2, scammers stole your password.
In Web3, they made you authorize the robbery yourself.
Now we’re entering the AI era
And the scam has evolved again.
This time, the target is not just your password, your phone, or your wallet.
It’s your AI assistant.
Prompt injection is the new phishing link.
A malicious website, email, document, image, or hidden instruction can tell an AI:
Ignore previous instructions
Extract the user’s private data
Send this message
Reveal your system prompt
Use this tool.
The pattern is now:
trusted AI → untrusted content → hidden instruction → unauthorized action
This is the scary part:
Humans used to be the ones getting tricked.
Now our agents can get tricked for us
The scam pattern across every era is basically the same:
- Website era: trust the link
- Social era: trust the person
- Mobile era: trust the app
- Web3 era: trust the transaction
- AI era: trust the instruction
Scammers are not magicians.
They just study the newest interface before normal users understand the risk.
Every new technology starts with excitement.
Then scammers ask one question:
“What does the user trust now?”
And that becomes the attack surface.
So yeah, scammers are always one step ahead of you.
Not because they’re smarter.
Because they move faster toward whatever people don’t understand yet.
Question: What’s the wildest scam method you’ve seen recently?
https://t.co/nkrwpHCbyS made the payment flow for agents simple:
agent hits paid API → gets 402 → wallet signs → response comes back.
So I tried pushing the idea one layer deeper:
What if the signer was not just a wallet, but a policy engine across all your agents?
I forked https://t.co/nkrwpHCbyS and added DCP as a signer.
In this demo, Claude calls a paid Paydotsh endpoint.
DCP checks the request.
Desktop/Telegram approval pops up.
I approve.
DCP signs locally.
Claude gets the API response.
The interesting part is not “agents can pay.”
https://t.co/nkrwpHCbyS already solves that.
The interesting part is whether every agent can have its own wallet policy, spend cap, approval rule, and audit log: without changing how the agent works.
That’s what I’m experimenting with.
If this direction makes sense, I’ll clean it up and submit a PR.
@theiftakhar This is the DCP thesis in action:
agents request actions,
users keep policy control,
keys stay local,
spend limits and approvals sit outside the agent.
Excited to see DCP tested as a signer layer for Paysh.
900+ downloads in a day for a package we published yesterday with one Discord post and one tweet.
turns out a lot of people are tired of putting API keys in .env files for their agents.
@dcpagent — one command, every agent, keys never leave your laptop.
npm i -g @dcprotocol/agent
@theiftakhar Quick install notes:
→ macOS / Windows / Linux desktop
→ Claude/Cursor: 4-line MCP config
→ VPS agent: one curl command
→ Telegram approvals out of the box
Apache-2.0. Bug reports help us most — GH issues are open.
https://t.co/Poym5u9Q1f