Internal · not linked from the site
Infographics lab
Candidate sections built from the S4L architecture. Each one is a standalone component, ready to drop into any page variant.
01Thread selectivity
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 voice 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.
02Local-first architecture
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
03Review queue demo
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.
04A day in the loop
A day in the loop
The loop runs all day. You show up once.
hover the ring
05Reply anatomy
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
06Self-improving learning loop
Self-improving learning loop
Watch a draft learn your voice.
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