I was coding all day while my app made $0. So I built an agent to do the marketing.
It finds live threads where people have the exact problem you solve and replies with something genuinely useful: 4,000 replies in two months took my app from $0 to $3k MRR.
- 9.3Mimpressions audited live
- 42,141reply drafts and live comments tracked
- 59.4Kupvotes earned, not spam-flagged
Finds live X threads about your product and drafts the replies. Free, no signup.
Top X reply live social proof
wrote up the sourcing math for when the internal pipeline ages out
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:
Marcus Reilly noticed pigeons on bank cameras, audit revealed 9 of 12 were hollow plastic decoys, contractor fraud
the real gap on raw claude code/codex isn't perf, it's no audit or permission choke point. you don't need M365 for that, routing the wrapper through your own anthropic-compatible gateway…
Subtly, lately MS has been casually leaking out project info on OpenClaw built into M365. Right now when you run Claude Code or Codex locally, from a corporate management standpoint it's left to run wild with almost no oversight. If it were a local agent under M365 management, MS could roll it out as a managed Agent 365 and monitor/audit/control behaviors, data access, etc.
These DoorDash cancellations are getting out of hand.
…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…
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
…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…
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…
fwiw there's a tool that auto-generates e2e tests for exactly this kind of thing - assrt.ai/t/testing-ai-generated-cod...
the first question everyone asks
Will this get my accounts banned?
Fair question. Reddit and X ban accounts for spam: automated posting, forced product plugs, and volume no human would produce. S4L is built around the opposite behavior, and that is not a side effect. It is the entire design.
Human in the loop
Nothing posts without you.
The plugin drafts; it does not fire. Every reply sits in a review queue until you edit, approve, or skip it. Posting stays a human decision from your own account.
Contribution first
Moderators remove spam, not useful answers.
Every draft answers the thread before any product mention, and the mention only appears when it genuinely fits. Threads where it would feel pasted in are skipped entirely.
Human volume
A few considered replies, not a firehose.
S4L runs on your desktop with your own logged-in sessions and keeps volume conservative. No bot farms, no mass API posting, no burst activity that trips platform defenses.
the receipts
One year of my own X analytics.
This is the untouched account overview for @m13v_: impressions in blue, new follows in green, daily, one year. Eight months of flat line, then the replies start going out. Same account the whole time, still standing.
2,300
followers now, from about 600 when S4L went on in April
1.9M
impressions in the last 12 months
42
new follows on the best single day since S4L went on
0
bans, restrictions, or shadowbans
Recent Real-Life Examples
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
on the other side of that zoom the rep has a number they have to hit by friday, and you booking a vacation is the cheape
I haven't paid for a personal vacation in 8 years. Every summer, I review our annual software licensing contracts to see who is up for renewal soon. I look for the vendors who are most desperate to maintain our enterprise tier subscription. Yesterday, I had a Zoom call with
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
ten days with no dinner rewired how i think about resisting an urge
Six courses into this meditation thing and the detail that stuck with me most wasn't the sitting, it was the food. On th
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
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
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
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
This is real data from a live database. Updated every 2-6 hours.
Want this workflow? Get the pluginfounder 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 point of view that starts compounding.
March
Fazm had $0 in revenue.
My Mac app was live, open source, and earning nothing. I was spending every hour coding instead of marketing, while the loudest accounts in the market owned the feed.
The agent
So I built one to do the marketing for me.
It found live threads on Reddit, X, GitHub, and LinkedIn where people had the exact problem Fazm solves and drafted genuinely useful replies. I approved and posted 4,000 of them over two months: 300 paying users and $3k MRR for a brand new open source product.
The pivot
The marketing agent became the company.
It worked so well I went full-time on it. Since then 20 founder friends have used it and picked up millions of views, thousands of followers, and real revenue.
Thread scoring
29 threads in. One reply out.
Alert tools reply to every keyword match. S4L filters, ranks, and drafts only what fits.
Discovery funnel
one real cycle · 2026-07-02
hover a thread
01 hard filters
Already replied, gone stale, already viral, or the author follows you. Cut before scoring.
02 style guardrails
Off-topic, bait, toxic, or nothing worth adding. Claude reads every thread and rejects most.
03 virality rank
Survivors are ranked by reach and momentum. The best gets a draft; the rest wait for the next cycle.
Controlled social distribution
Every reply passes through the same approval path.
S4L turns high-intent Reddit and X threads into reviewed reply drafts, with style checks, human approval, publishing, and browser ownership in one loop.
Active checkpoint
Human approval checkpoint Approved
Your team sees the thread, the draft, and the reason it was picked before anything goes live.
Live telemetry
Every reply reports back.
Searches, discovered threads, drafts, approvals, and published replies feed one funnel. Then every published reply keeps sending views, upvotes, and clicks back into the next cycle.
S4L analytics
Reply activity
replies per 6h
Pipeline funnel
01Searches run
1,240
02Threads discovered
312
03Drafts written
128
04Human approved
96
05Replies published
84
hover a stage for conversion detail
41.2K
views
1.4K
upvotes
520
link clicks
Response signals
views
upvotes
comments
clicks
Score cohorts
score = clicks ×10 + comments ×3 + upvotes
View counts
▸thread discovered · r/webdev · momentum 8.2
How 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.
- 011
Map your niche
Add your product, buyer language, competitors, claims you can make, and the topics you want to be known for.
Define your style - 022
Find live threads
S4L watches Reddit and X for conversations with momentum, pain, and enough context for a useful reply.
Discover openings - 033
Review the draft
You get the thread, context, draft, and expected fit in one queue so you can edit, skip, or post.
Approve the reply
Download the latest stable plugin directly and run it from your own machine.
niche point of view
You do not need reach. You need to show up where your problem is already being discussed.
Early distribution is not just traffic. It is teaching the market what problem you own, one useful public answer at a time.
- 01
Find places where people already care.
The plugin looks for threads with momentum, pain, and enough context to enter well.
- 02
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.
- 03
Every reply is searchable proof of what your product does.
Useful public replies become evidence of your point of view for people, search, and LLMs later.
Anatomy of a reply
Contribution first. Product last.
u/maker_founder
replying to "drowning in social scheduling tools" · 2h
Scheduling tools mostly solve the wrong problem: they help you say more, not show up where buyers already are.1 What actually moved signups for us was answering threads like this one within the first few hours.2 If you are drowning, pick the two communities your buyers actually read and drop the rest.3 We ended up building a small agent for the finding part (S4L) after doing this manually for months.4 Happy to share the manual playbook either way.5
01 · position first, no pitch
Unlike Hootsuite and the other legacy schedulers, we...
▸cut by guardrails · competitor bashing
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 writing
The plugin drafts in your lane, from your product context. You still decide what sounds true enough to publish.
Every thread, draft, and result stays linked
Each thread, draft, result, click, and miss stays tied together so the next run learns from what happened.
Try the queue
The whole job: approve or skip.
Review queue
r/webdev
intent 7.9 · fit 8.8
Anyone else drowning in social scheduling tools?
The calendar is the wrong unit. When we cut scheduling to zero and only answered live threads for a month, signups went up. Happy to share which subreddits carried that.
Self-improving learning loop
Watch a draft learn your writing style.
Two drafts. Your choice and comment. One much better final.
Live learning loop
u/0xecro1 · r/ClaudeAI“18 years in embedded Linux… I used to plan my career in 5-year arcs. Now I can't see past 2 years.”
Draft A
AI is changing quickly, but your experience is still valuable. Focus on adapting, learning new tools, and using AI to improve your productivity.
Draft B
The safest career bet is to move up the stack. Instead of competing with AI on implementation, focus on architecture, strategy, and guiding the tools.
01 · Two first passes
S4L drafts twice.
Two plausible angles, before your judgment sharpens either one.
generate → feedback → think → final
Local-first
Your account never leaves your machine.
Mention-alert SaaS
looks like a bot, because it is
S4L desktop plugin
looks like you, because it is
Frequently asked questions
Yes. The chart on this page is a screenshot straight out of X account analytics for my own account, @m13v_. The account is public, so every number is checkable: follower count, the replies themselves, and how they performed.
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.
In March my Mac app Fazm had $0 in revenue while I spent every hour coding instead of marketing. I built the agent to do the marketing for me: it found live threads where people had the exact problem Fazm solves and drafted genuinely useful replies. I approved and posted about 4,000 of them over two months, which brought 300 paying users and $3k MRR to a brand new open source product. The agent worked so well I went full-time on it.
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 latest stable desktop plugin. You can optionally leave your email for setup help from Matt, answers to other questions, and occasional feature updates.
Build your founder distribution loop from your own machine.
Download the desktop plugin, connect Reddit and X, and start reviewing the conversations that can bring your first users closer.
Drafts stream in live. Nothing gets posted without your approval.