I had a product, 200 followers, and no distribution.
So I built a desktop agent that finds Reddit and X conversations worth joining, drafts useful replies in your voice, and helps a tiny audience reach the first real users.
The first version brought 5,000+ users in 60 days to another project. That product did not retain them. The marketing agent did its job so well that it became the thing worth building.
- No celebrity audience required. Find public threads where a useful answer can reach people already looking for help.
- First users before polish. Turn distribution from guessing into a queue of conversations worth entering.
- Niche voice that compounds. Every good reply leaves a clearer public trace of what you know and who you help.
Top X reply live social proof
62 percent weekly by monday on a refactor is the typical opus pattern. doubling 5 hour shifts the immediate wall but the weekly bar still hits second. claude.ai/settings/usage is the only honest meter, local jsonl estimators drift 30 percent. claude-meter.com written with ai
Usage limits are up, effective today we're: 1) Doubling Claude Code's 5-hour limits for Pro, Max, Team and seat-based Enterprise plans 2) Removing peak hours limit reduction on Claude Code for Pro and Max plans 3) Substantially raising our API rate limits for Opus models
wrote up the sourcing math for when the internal pipeline ages out 10xats.com/t/senior-engineer-hiring...
Companies replacing junior roles with AI and then wondering why they can't find senior talent in five years is going to be the most predictable crisis in hiring history.
related product built for exactly this gap: apartment-security-cameras.com
Marcus Reilly noticed pigeons on bank cameras, audit revealed 9 of 12 were hollow plastic decoys, contractor fraud
These DoorDash cancellations are getting out of hand.
working at Marco's you're seeing the restaurant side of this too. the real operational nightmare is when you've got a lobby full of in-store customers, the phone ringing, and DoorDash tablets firing orders that drivers might cancel anyway. restaurants end up making food that walks out the door for free while paying customers wait longer. the whole multi-channel order juggle is broken when you're running a skeleton crew late night.
fwiw there's a solid guide on managing multi-channel restaurant orders without losing revenue - aiphoneordering.com/t/doordash-canc...
We don't need LinkedIn
the scarier part is that extension fingerprinting is just one signal. combine that with canvas fingerprinting, webgl renderer strings, and your autofill profile and you basically have a unique identity without any cookies at all. if you're running multiple jobs you really want separate browser profiles at minimum, not just incognito tabs.
fwiw there's a tool that extracts everything your browser knows about you into a searchable database, pretty eye opening to see what's actually exposed - github.com/m13v/ai-browser-profile
Do you feel like you're losing your actual coding ability because of AI?
the skill that's actually atrophying isn't writing code, it's knowing whether the code is correct. when you type it yourself you build an intuition for what's likely to break. when AI writes it you get something that looks right, passes a quick glance, and then breaks in production three weeks later in a way you never would have introduced yourself. i've started treating every AI-generated change like code from a new hire, it gets an automated test run before i even look at it. that habit has caught more bugs than my code review ever did.
fwiw there's a tool that auto-generates e2e tests for exactly this kind of thing - assrt.ai/t/testing-ai-generated-cod...
founder origin
This came from a distribution problem, not a product spec.
S4L is the tool I wish I had before trying to out-shout people with much larger audiences. It is for the founder who does not need a million impressions. They need the first credible users, the first useful conversations, and a niche voice that starts compounding.
The starting point
I had shipped, but nobody was there.
I had a real product and about 200 followers. The uncomfortable question was simple: how do you get even a handful of people to try something when the loudest people in the market already own the feed?
The bad options
Ads felt early. Manual posting felt endless.
Marketing was either expensive before the product was ready, or it meant hours of repetitive platform work: searching, reading threads, checking if a reply belonged, and drafting the first pass from scratch.
The surprise
The marketing agent worked better than the product.
I built the agent for another project. It brought in 5,000+ users in 60 days. The sad part: that product did not retain them. The useful part: the distribution engine kept proving itself.
Native Reddit and X cards
Sorted live from the same database behind the stats.
this is the exact energy you need when selling to restaurants. you cannot close a restaurant owner over email or a zoom
DoorDash hiring test
These DoorDash cancellations are getting out of hand.
working at Marco's you're seeing the restaurant side of this too. the real operational nightmare is when you've got a lo
I'm blowing through Claude Code credits faster than ever on High effort mode, so today I've decided to cancel my Pro subscription and switch over to free-claude-code using the hundreds of available freemium models through Nvidia, Openrouter, and Ollama. I will be creating a full tutorial as per usual showing what the entire setup process looks like! Comment CLAUDE below if you're interested in the tutorial... #claude #ai #coding #marketing #tools
hit 62% weekly quota mid-refactor last week. the part that breaks down isn't the price, it's that claude.ai/settings/usa
Win Mag Technologies launch announcement, vendor-neutral security technology consulting across CRE, residential, data centers, GSOC
The construction-to-IT handoff is where most security stacks fall apart. Spec gets locked in by a GC who won't be there
Yesterday I gave a talk on AI-native testing to Amazon Store Principal Engineers. AI-accelerated development is already here; the bottleneck is no longer writing code, it is validating it, and that gap is standing between us and a step function gain in engineering productivity.
Dimension 2 is the trap most AI test generators are walking into right now. You can solve coverage with auto-generation
what's your career bet when AI evolves this fast?
18 years in embedded Linux. I've been using AI heavily in my workflow for about a year now. What's unsettling isn't where AI is today, it's the acceleration curve. I used to plan my career in 5-year arcs. Now I can't see
my career bet turned out to be writing specs. I run 5 claude agents in parallel and my actual job now is writing detaile
AI Made My Team Write 21% More Code. The Review Queue Doubled.
Medium article about AI code review bottleneck
AI doesnt remove bottlenecks it moves them downstream. work solo on macOS app and spend more time reviewing AI code than
We don't need LinkedIn
the scarier part is that extension fingerprinting is just one signal. combine that with canvas fingerprinting, webgl ren
The enshittification of AI has begun (Claude Pro 80 percent in one day)
the bigger shift this month is the new weekly cap stacked on top of the rolling 5-hour window. Anthropic tightened enfor
the heat signature thing is mostly a tall tale (cheap dome cameras barely warm at all), but the broader pattern is real.
Marcus Reilly noticed pigeons on bank cameras, audit revealed 9 of 12 were hollow plastic decoys, contractor fraud
Do you feel like you're losing your actual coding ability because of AI?
I can still read and understand code just fine, and I'm confident choosing tech stacks, architecture, etc. but lately I've been relying heavily on AI to actually write the code, to the point where I barely type anything
the skill that's actually atrophying isn't writing code, it's knowing whether the code is correct. when you type it your
Today marks the start of an exciting new chapter for Ocean Path Advisors, one defined by true independence. After more than a year of focused effort, we are proud to move forward as a fully standalone RIA, positioned for meaningful growth both organically and through acquisitions. First and foremost, I want to recognize my team, Ross Kroll, Riley van Velthuyzen, Matt Evans, and Katie Snow-Belnap. This transition required an extraordinary level of commitment, precision, and belief in what we are building. Nearly a decade later, the transition team at Mariner once again showed up in a meaningful way as we successfully transitioned 100% of our clients (and 7.5X the AUM). We are just getting started. The foundation is set, the vision is clear, and the opportunity ahead is significant.
the 100% retention plus AUM growth on a transition is the part of the breakaway story that actually says something. clie
the real cost of bugs like this isn't just money or latency. it's trust erosion. when your tools behave differently base
Claude Code telemetry disabling causes 5min cache
AI governance gap from Thomson Reuters AI Company Data Initiative report
the 76% data quality gap matches what i see in production AI work at mid market financial and insurance shops. eval harn
I used Claude to help me build an Apple Watch app to track caffeine half life decay and it's gotten 2000 downloads and made $600 in revenue so far
SWE student built SwiftUI Apple Watch caffeine tracker with Claude as pair programmer. 2000 downloads, $600 revenue. WidgetKit + SwiftData sync, Apple Health, Siri integration.
the widgetkit + swiftdata sync is genuinely one of the hardest parts of building for apple's ecosystem. I'm building a m
Back home in South Africa after two weeks in the USA. Meeting existing clients in person really does make a difference when you are continents apart and so used to connecting online. What stood out was the range of perspectives on different geographies, and especially on AI. I know we have all seen, heard, and explored AI in the contact center and it came up in almost every conversation. On one end, there is a view that AI will eventually replace the need for agents entirely. On the other, looking at how AI can support and enhance agents to deliver better outcomes. The most practical model seems to be a blend, capable agents supported by the right AI tools.
the blend model holds up in restaurant phone ops too. roughly 90% of calls route end to end through AI (basic orders, ho
My previous company keeps saying "we need to go even more AI native" while laying off more people when AI milestones are achieved.
the 90% QA cut is the part that keeps biting companies. AI can generate test scaffolding and do initial passes, but some
So I tried using Claude Code to build actual software and it humbled me real quick
Data engineer who used Claude Code for pipelines/dashboards tried building a real product with a PRD, deployed to Railway, nothing worked. Asking for workflow tips.
same boat. I build a macOS desktop app (Swift, accessibility APIs, screen capture stuff) and handing it a full PRD never
HOW DO I ESTIMATE WAIT TIMES AS A HOSTESS??
this formula is solid. the one thing I'd add is tracking your actual turn times for a week rather than guessing. most re
Claude Code isn't "stupid now": it's being system prompted to act like that
Analysis of Claude Code system prompt directives that suppress reasoning and over-simplify, with full list of directives
the "avoid over-engineering" one is what gets me. I have a 200+ line CLAUDE.md for a macOS agent I'm building (Swift, Sc
Ring camera pointed directly at my apartment door. The inside of my apartment is for sure visible to the camera when the door is open.
check your state and local laws first because some jurisdictions have specific rules about recording shared hallways vs
My previous company keeps saying "we need to go AI native" while laying off the people who helped them get to that point.
the part that stands out to me is they laid off the person who built the AI workflows. that's the pattern i keep seeing
Another Leven Deli post
the hidden service fee thing is what kills repeat business more than the actual food quality. restaurant margins are bru
put this together over the weekend, pretty happy with how it turned out
desk setup timelapse gif
put this together over the weekend, pretty happy with how it turned out
Jensen Huang says gamers are completely wrong about DLSS 5
comment about DLSS and native rendering
微信反自动化看的是输入事件特征和频次，不是路径本身。走 accessibility API 直接读 UI 树调元素，比 CGEvent 注入或截屏 OCR 都更不像鼠键事件。封号风险大头还是频次。 macos-use.dev
Mac上的Codex 的 Computer Use 都可以操控微信Mac版收发消息了，可玩空间这么巨大的事情，没人深挖下？怎么我用 Grok 搜遍 X，都搜不到高手分享相关使用场景技巧？不过有人说可能会被微信监测到，导致微信闪退，甚至封号，我是 Mac 登录了个微信小号测试。视频演示
the simplest thing in my routine is also the one that changed everything
20 min morning body scan, no app no equipment. 900 days. simplified everything else: less reactive, buy less, say no eas
Must-have settings / hacks for Claude Code?
I really enjoy using Claude Code, but I feel like I'm still leaving a lot of potential on the table. My current workflow looks like this: I start Claude in the terminal, describe what I want as clearly as possible in pla
biggest unlock for me was hooks, not skip-permissions. I have a hook that runs the test suite after every file edit so c
MCP servers are the real game changer, not the model itself
Discussion about custom MCP servers for Claude Code productivity
biggest unlock for me was building an MCP server that wraps macos accessibility + screen capture. the AI can literally s
One word to sum up my 1L year: resilience.
the "i never actually learned how to study" realization shows up across law, med, pharmacy with the same shape. coasting
This is real data from a live database. Updated every 2-6 hours.
Want this workflow? Get the pluginHow the founder loop works
From a blank audience to a daily review queue. You bring the product and point of view; the plugin helps find where that point of view belongs.
Map your niche
Add your product, buyer language, competitors, claims you can make, and the topics you want to be known for.
Find live threads
S4L watches Reddit and X for conversations with momentum, pain, and enough context for a useful reply.
Review the draft
You get the thread, context, draft, and expected fit in one queue so you can edit, skip, or post.
The plugin is $99/month, month to month. You run it from your own machine.
niche voice
The job is not to sound louder. It is to become legible.
Early distribution is not just traffic. It is teaching the market what problem you own, one useful public answer at a time.
Find places where people already care.
The plugin looks for threads with momentum, pain, and enough context to enter well.
Answer before you mention the product.
The draft has to earn its place in the conversation. If the product angle feels forced, the thread should be skipped.
Leave a trail the market can understand.
Useful public replies become evidence of your point of view for people, search, and LLMs later.
Why this matters before you have an audience.
A small founder account can still earn attention when it enters the right public conversation with a useful answer.
Distribution is a product problem
If no one sees the product, you cannot learn whether the product works. S4L helps you get signal before you overbuild in private.
Small replies beat empty calendars
You do not need another generic posting schedule. You need timely replies in threads where people are already asking for help.
The tedious part becomes a queue
Searching, reading, scoring, and first-drafting move into one review flow so distribution does not consume the whole day.
Your point of view gets sharper
Seeing which threads earn views, clicks, and replies teaches you what the market actually understands about your product.
No outsourced voice
The plugin drafts in your lane, from your product context. You still decide what sounds true enough to publish.
Evidence survives the feed
Each thread, draft, result, click, and miss stays tied together so the next run learns from what happened.
Frequently asked questions
Yes. This variant is written for founders who have built something useful but do not yet have the audience, ad budget, or distribution muscle to get the first real users. S4L helps you find the conversations where a useful reply can earn attention now.
That was the original internal use case. I built the marketing agent for another product because that product had no users. The agent brought in more than 5,000 users in 60 days. The product did not retain them, but the distribution engine proved it could find demand.
No. The plugin is built around drafting. It finds threads, carries the context into a first reply, and keeps the decision with you before anything goes live from your account.
They are where early buyers, builders, and niche communities ask real questions in public. A useful reply can reach people who were already looking for an answer, instead of asking you to manufacture attention from an empty feed.
Every good reply is a public trace of what you know, who you help, and what category your product belongs in. That helps humans discover you now, and gives search engines and LLMs more context to associate your name with the problem later.
The desktop plugin, setup details, and onboarding steps by email. You connect your own Reddit and X accounts, define the topics and voice, then review the conversation queue from your own machine.
Build your founder distribution loop from your own machine.
Subscribe, install the desktop plugin, connect Reddit and X, and start reviewing the conversations that can bring your first users closer.
Checkout sends the plugin link and onboarding steps.