Dan Colta

@vigilcodes @lowcap_hunter cool! looking forward

@dancolta @lowcap_hunter agreed, FP rate is everything. current sentinel: read-only loop, dedup'd via SQLite, only ≥high severity notifies. 5 signal sources (goplus, onchain, dexscreener, deployer, scam db). multi-source consensus is next. send adversarial tokens, i'll share scores.

Plenty of scanners exist (GoPlus powers part of it, plus RugCheck-style tools, Revokecash for approvals). But VIGIL stands out because: • It’s agent-first (MCP-native, built for autonomous AI agents to query it safely). • Fully autonomous Sentinel + wallet monitoring (most scanners are one-off). • All-in-one suite as a single MCP server on Base (popular L2 for cheap/fast agent activity). • Official skill in Aeon framework (autonomous agents can now call VIGIL natively). Bankr integration in review too. This isn’t “yet another honeypot checker” —it’s the security layer for the next wave of AI trading agents. The timing lines up with broader onchain AI safety discussions (guardrails, verifiable execution, etc.). Open installation + public endpoint shows transparency.

@zeng_wt day 3 and you're shipping a contraction timer with pain tracking, not a todo app clone, respect

I just vibe coded Serenity Surge, a beautiful, single-tap contraction timer for pregnant moms. Huge soothing buttons, pain level tracking, notes, and instant copyable summary for the doctor/nurse.💜 Completely private, no sign-up. Here is how the app works. This is my day 3 of #HotAppSummer with @Netlify 🔗👇

@mfishbein took way too long to see this pattern, the slowest part in every tool i've built was always me reading the output and deciding what to do with it, not the thing generating it. once you architect around that the pipeline runs without you in it

We replaced ourself from our own client work. Built a system that turns client request into shipped code. Clients get production features built in minutes. Background: We were putting finishing touches on an internal tool. Client was messaging us with all those small requests that always come up before you ship. Then we realized something shocking: The bottleneck wasn't coding, it was US. Reading messages and actioning them was the slowest part. We had already architected the project and context engineer'd the system, so Claude Code could handle most requests. We were just a middle man at that point. So we replaced ourselves. Took ourselves out of the way. Built a Telegram bot hooked up to Github, Claude Code, and Vercel. It turns requests from clients into shipped code. Here's what it does when the client drops a message in the group chat: > The Telegram bot webhook runs as a serverless function on the same Vercel instance as the site (zero new infrastructure) > The function fires a GitHub repository_dispatch event carrying the request text > GitHub Actions spins up a runner, clones the repo, and hands the request to Claude Code > Claude Code reads the full project context from AGENTS.md, makes > Commits to main and pushes, Vercel auto-deploys on push, live and ready for the client to review > The action calls Telegram Bot API to reply in the group chat with confirmation No more "hey can you update this when you get a chance" messages sitting in our inbox for a day. No more context switching. Clients get their requests shipped faster because we built a system thats handles them instead of handling them ourselves. Some people set up a VPS and run OpenClaw or Hermes Agent so they can chat with a coding agent from Telegram. That's a pain though. We skipped all of that. There's no server, no Docker, no systemd service. The entire pipeline is serverless and runs on infrastructure that already existed. The webhook lives on the same Vercel deployment as the site itself. GitHub Actions is the only compute. Here's how to build this for yourself (copy-paste this into Claude Code): 1. Set up a Telegram bot (BotFather) and point its webhook at a `/api/telegram` serverless endpoint on your existing hosting 2. Write the endpoint: verify sender, extract message text + any photo URLs, fire `repository_dispatch` to GitHub 3. Create a GitHub Actions workflow triggered by `repository_dispatch` that runs `claude-code-action` with the request payload 4. Add `AGENTS.md` to your repo with project structure, deploy commands, and conventions (this is the agent's context) 5. Have the workflow's final step POST a confirmation message back to Telegram via Bot API

@mc_code_ @paulg i started it as a throwaway script to cut linkedin noise, thought i'd use it twice and bin it, 4 months later it's the main thing i've consistently shipped

@paulg "Side project" that ended up reshaping the entire industry. The best pivots never look like pivots at the time.

Sam Altman deserves credit for YC's turn toward hard tech. When he became CEO in 2014 he went out and recruited companies doing stuff like airliners and fusion, and hard tech startups have been some of the best in every batch since.

@mustafaergisi the simulator being in the loop is the missing piece for mobile side projects, i kept defaulting to web tools because the feedback cycle was tighter, that excuse is gone now

iOS simulator inside Codex is the kind of update that quietly changes what counts as a viable side project. The build to demo gap keeps collapsing each week. x.com/ajambrosino/st…

@asaio87 building is almost free part is true, but the bar for what passes as shipped keeps rising, so the craft gap between a polished product and a thrown-together app becomes way more visible the moment you get any eyeballs on it

building is almost free, just need distribution however only for people who know what they are doing. There are so many vibecoded apps that work and look like shit, that even if they had distribution, they will still not be successful. Its the same for most vibecoders

@leonpalafox @freed_dfilan if anthropic is vibe coding their own releases with it, that's the only product review i need tbh. been doing the same for 4 months straight, nobody asks twice after seeing the output

@freed_dfilan Anthropic literally said that the latest Claude release was mostly vibe coded

I am once again asking where all the great new software enabled by the AI that really looks like it's great at building new software is.

@femmie tried something similar last month, ran a static ICP panel before touching the landing page, the copy rewrites alone saved me 3 rounds of a/b testing. the decision memo framing is the missing piece most skip, can share what mine looked like if useful

$SYNTHETIC Your first user should be synthetic. Before you launch a token, a landing page, or a product — run it through a panel of 30 synthetic AI users. Skeptics, buyers, traders, early adopters. They read your copy, stress-test your onboarding, and generate a decision memo that tells you exactly where it breaks. One input. One workspace. The agent routes the request. The panel tears into it. You get the memo. External skills now integrated: @WakeOnBase for Base-native token scoring, sub-signals, and security context. @0_x_coral for community intelligence, social heat, and trending signals. Synthetic uses them as inputs to pressure-test the holder thesis — not as verdicts. Shark Mode runs deeper @miroshark_ reads for broad audience and market questions. @bankrbot launch preflight and execution rail locked behind operator confirmation. This is part of the official @aeonframework ecosystem — the autonomous agent framework by @aaronjmars (Paradigm CEO starred MiroShark, 150+ skills, hundreds of active builders). Synthetic sits inside that infrastructure and ships with it. Pseudonymous builder — honest gap. But the ecosystem around it has more credibility than most named builders in this space. Sub-$100K mcap. Live terminal. Real integrations. Every Base builder is a user. @SyntheticsAI_ 0xFE848A4E279E762AD409A84D4E164324B8D26BA3

$WAKE It's an on-chain intelligence terminal built exclusively for Base. Smart wallet tracking, AI token scoring, and an exit detector pattern-matched against thousands of historical Base pre-dump signatures. 47 patterns. Fires before the chart moves. The Token Spotter API is already live for agents. Base MCP launched two days ago. WAKE is already the intelligence layer agents can call before executing a trade. That's not a roadmap item. Aeon Framework — one of the most respected agent stacks on Base — is already a named ecosystem partner. Traction ships this week, protocol-level scoring for every Base DEX and lending platform ranked by real TVL and fees. Not narrative. The math. They launched $WAKE on Bankr Whetstone Airlock. The same infrastructure their engine scores and validates. They held themselves to the exact standard they measure everyone else by. Sub-$1M mcap. Named partnerships. Dated catalyst this week. Agent API live. #17 trending on DexScreener with the product still in closed beta. The market is finding this before most people have opened the terminal. 0x50c2cc97c4f487aa0cd742ab4b6afe8b8511bba3

@helloitsolly i tick all those boxes and i'd add one more, you can't explain to normal people why you'd rather debug a deploy on a friday night than go out, and you stop trying to

This is actually a disadvantage 😂 The archetype bootstrapped entrepreneur is neurodivergent, carrying trauma, and has mummy or daddy issues These are the things that make you work a 80 hour week when everyone else is at the beach

@gregisenberg had a version of this without the kid, forced a hard cap on my work window a while back, actual output didn't drop, the rest was just being present at a desk. took an embarrassing amount of time to figure that out

When I first became a dad I was genuinely worried my career would suffer. The opposite happened. 3 things changed that I wasn't expecting. First, a child cuts the filler from your life instantly. I used to sit at my desk for 14 hours and feel like I was crushing it when in reality maybe 4 of those hours were actual work and the rest was meetings that didn't need to happen, scroll sessions I told myself were research, and "quick calls" that turned into 90 minutes of nothing. A child deletes all of that overnight. Because you literally don't have the time anymore. Every hour matters in a way it didn't before. You could be with your kid, working on your startup, exercising, having dinner with your wife, sleeping. When your time is actually full of things you care about, the filler can't survive. I'm shipping more now than before my kid was born. Half the meetings. Faster decisions. I stopped saying yes to things out of politeness because my time has a very real cost now that I can feel in my bones. Second, your risk tolerance goes up, not down. Everyone assumes having a kid makes you play it safe. For me it created this urgency to build something real while my kid is young enough to not remember the hard parts. That urgency is more useful than any productivity system I've ever tried. Third, your thinking just gets clearer. I don't know how else to explain it. You stop deliberating for days and just make the call. You stop chasing every opportunity and only chase the ones that actually excite you. Something about being responsible for another human being gives you this filter that cuts through the noise instantly. Before my kid, I'd go back and forth on a decision for a week. Now I make it by lunch and move on. I used to think having a kid was the thing I'd do after I built the company. Turns out the kid made me better at building the company. Wish someone had told me that sooner. So I'm telling you. I know this sounds like something a new dad says to justify it. I thought the same thing when other dads told me. Then it happened to me and I understood. I think you will too.

@sarlloc good luck! 💪

@dancolta indeed! will start with the sys design part tonight and the coding tomorrow first thing in the morning!

Picked up an ambitious side project for the weekend to learn something new. Kinda scared, kinda excited!

@rashiumapathi yup

@dancolta The reply is the signal. They raised their hand first. You just answered.

Solo founder. 500 followers. No email list. Offered free audits in DMs to every reply. 90 days later: 18 paying customers. $12k MRR. Distribution doesn't have to be complicated.

@VukRosic99 3 papers out of an autonomous system is non-trivial, most setups i've touched produce plausible-looking output that falls apart on first read. shipped 7 claude code skills this year doing something adjacent, the review step is still the hard part

DeepSeek Researcher AutoResearch Side Project YouTube - youtu.be/nz8zk8tL6xg In this video I explain the autoresearch side project by the DeepSeek researcher Deli Chen It wrote 3 papers already and contains skills you can use in your own autoresearch. --- Learn to do AI research in our Skool - skool.com/become-ai-rese… (funds our research)

@mytwillot @DanielSmidstrup built something almost identical for my social feed this year, the indexing part is surprisingly fast but the retrieval quality really depends on how you're chunking the source material, bookmarks especially are messy

@DanielSmidstrup Solo founder here! I'm building Twillot—it backs up your bookmarks and tweet history, then uses AI to turn them into a searchable personal knowledge base. twillot.com/en

Looking to connect with solo founders. What are you building?

Asked a founder what his break-even customer count was. He didn't know. He had "lots of users." He also had four months of runway and a per-seat plan that agents were quietly eating into. Knowing your floor isn't boring finance stuff. It's the difference between a pivot and a goodbye post.

Watched a "feature-complete" tool get cloned last year. The clone was actually better. It still died. The original had three years of knowing exactly which five emails its users opened. You can't weekend-clone that. Features ship in a weekend. Context takes years.

A small team can clone your SaaS in a weekend now. That's not the scary part. The scary part is your moat was always "we have the features," and you just found out features were never the moat. Distribution, trust, and the thing only you know about your customer. That's what's left. Go build there.

@mytwillot @BrianMRey built something similar for my own posts last year, the indexing worked fine, problem was i had no system for what to do once stuff surfaced, that gap took longer to fix than the whole build

@BrianMRey Solo founder here! Building a tool that backs up your bookmarks and tweet history, then uses AI to turn them into a searchable knowledge base so nothing gets lost. twillot.com/en

@ProgrammerDude Yeah my bad, misread where you were going, thought it was the IAM angle. Lockfile thing is fair though, that's not even advanced knowledge. AWS just shouldn't be out here telling people to run uvx latest, full stop.

@dancolta Like. When I say you're not gonna make it. I mean you will literally get hacked within weeks. There is a package manager compromise basically every day now. This is not like some hypothetical. It's a given.

Every big tech company completely lost their minds w.r.t. supply chain security because of AI. This is official AWS blog. Suggesting to run an MCP with uvx latest instead of with a lockfile. I'm losing my shit.

Yeah the moat is real but it's not the data itself. Any CSV can hold contacts. The moat is everything built around it - the workflows, approval chains, permission hierarchies, custom objects that took years to configure. You can export your records but you can't export the logic that makes them actually work. Switching means rebuilding all of that from scratch, not just moving a spreadsheet. That's why it's sticky.

@dancolta explain to me like i am an idiot (i am). your saying the moat for $CMR Is real?

$CRM LANGUAGE ANALYSIS FROM YDAY IR PRESENTATION 1/2 The most significant behavioral cluster emerged when Spencer discussed whether AI spending is generating tangible returns. He made a direct, unqualified admission: "I can guarantee right now I can tell you we're not seeing necessarily $300 million of hard efficiencies." He then immediately softened with "People are work faster, don't get me wrong, but we're not cutting headcount. We haven't seen some inflection hockey stick on revenue associated with the use of tokens internally." 1 This is a rare case of a senior executive volunteering negative information, which BIA treats as a credibility positive for the specific admission itself. However, the surrounding language is problematic. He used "necessarily" as a classic BIA limiter, hedging the $300M figure. The phrase "don't get me wrong" is an enhancing qualifier, signaling awareness that the admission sounds bad. He then projected that ROI scrutiny will intensify "over the next year, year and a half," effectively pushing accountability into the future. This pattern of admitting a current weakness while deferring resolution is a textbook deflection technique. Net: the AI spending thesis across the industry is unproven at enterprise scale, and Spencer is more candid about this than most, but the lack of hard ROI data after rolling out tools internally is a real concern for the bull case on AI monetization.