Friday, February 13, 2026
Artwork of the Day
A violin dissolves mid-note, its strings becoming paper cranes that scatter toward a sky no hand has painted yet— the music carries on.
Faces of Grit
Srinivasa Ramanujan
The man who knew infinity
AI isn't replacing jobs directly: it's changing what 'being skilled' means
The post argues AI isn't deleting skills — it's compressing execution and amplifying judgment. The valuable skill used to be doing the task. Now it's directing the task: prompting + editing, architecture + debugging, filtering + verification. Two people can spend the same effort, but the one who frames the problem well gets 10x the result.
At their startup, valuable managers/architects hand off 'toil' to AI and operate as if they have a small team. People who just crank out assigned tasks without a human feedback loop are becoming less effective.
— tombosauce18 pts
The skill hierarchy is flipping — junior devs sometimes outpace seniors because they learned to collaborate with AI from day one with no ego about 'I can do this faster myself.'
— ChatEngineer6 pts
We're moving faster, but not always getting better at the fundamentals. Feedback loops are weakening because you can ship things without fully understanding them.
— RangoBuilds03 pts
Can anyone give real examples of using AI agents in business?
OP cuts through the hype: most things labeled 'AI agents' are glorified chatbots or complex demos. They want concrete, in-production examples. The thread delivered — support triage, sales ops enrichment, real estate qualification, and consultancy matching.
A real agent vs chatbot = takes actions via tools, handles multi-step goals, recovers when things fail. Support triage, sales ops enrichment, finance anomaly flagging.
— Otherwise_Wave937413 pts
You'd be extremely challenged to find anyone in the Fortune 1000 who isn't using AI agents today. Coding agents are the most powerful and common.
— NoSecond88073 pts
Building agents at a large consultancy that extract requirements, match consultants, analyze gaps, and tailor profiles. A process that takes a week+ without AI.
— rudewaffle2 pts
Claude Opus 4.6 vs GPT-5.3-Codex: what actually changes for production systems
Both models are now optimized for sustained multi-step work — longer sessions, tool integration, execution continuity. For Opus 4.6, the real signal isn't '1M context' but whether long-context retrieval degrades predictably.
The biggest difference is not which model is smarter, but which stays consistent across longer tasks. Claude feels better at reasoning/planning, GPT is faster for code generation.
— Alternative_Nose_8742 pts
Lot of buzz words here, not a lot of actual analysis.
— space_1496 pts
Claude Code's CLI feels like a black box now. I built an open-source tool to see inside.
Biggest post of the day. The author argues Claude Code's observability is broken — default mode gives useless green checkmarks with no context, while --verbose mode floods you with unreadable JSON. They built claude-devtools, a desktop app that provides a middle ground: see what files were edited, why tokens were burned, and get a context breakdown.
The 'done' with no context thing drives me insane, especially when you're trying to figure out why it burned 8k tokens on a 3-line change.
— Pitiful-Impression7031 pts
Built something similar as a VSCode plugin (sidekick-for-claude-max). The observability gap is clearly felt by many.
— Cal_lop_an13 pts
Max 20x Plan billing audit: all tokens billed at cache CREATION rate, not READ rate
A Max 20x user parsed Claude Code's local JSONL files and cross-referenced with billing. Over Feb 3-12: 206 charges totaling $2,413 against 388M tokens. That works out to $6.21/M tokens — almost exactly the cache creation rate ($6.25/M), not the cache read rate ($0.50/M). A potentially significant billing discrepancy.
Ran the same audit and found the methodology incomplete — there are two cache types (1hr at $6.25/M and 5min at $0.50/M). Since a recent CC update, everything moved to 1hr cache, which is billed at the higher rate.
— HopeSame315311 pts
I am dipping nuggets you have never heard of into sauces you couldn't comprehend.
— jcmguy9676 pts
Shipped a full project in 6 hours. MBA + Claude Code is kinda crazy.
An MBA student with zero technical background built a credit card comparison website with 150+ card database and an internal blogging system — all in ~6 hours using Claude Code. The comments are skeptical about what 'shipped' actually means.
What do you mean by 'shipped'? Testing, edge cases, security reviews, deployment, documentation?
— cthunter264 pts
'Shipped' likely means it ran without crashing on OP's laptop.
— tin_ting_tin6 pts
Be careful — that's probably insecure and there's a huge risk someone can take your customers' credit cards.
— doomdayx2 pts
We got featured on Product Hunt and it nearly killed our company
Got featured, 2,000 signups in 48 hours, champagne in Slack. By day 5 their onboarding was broken (built for 10 users, not 2,000). Half the signups were founders doing competitive research. By week 2, DAU was lower than pre-launch but costs were 4x higher from panic-scaling infrastructure.
If the product isn't targeting other founders, your users aren't hanging on Product Hunt.
— radudev89 pts
Treat launch day like a marketing experiment, not a business milestone. Your real metrics start on day 30.
— MODiSu10 pts
The brutal truth about n8n vs Zapier vs Make vs 4 others after 6 months
A practitioner tested 7 automation platforms across 20-30 simultaneous workflows. The verdict: Non-technical = Zapier. Technical = n8n self-hosted. Balance = Make. AI-focused = Gumloop. The key insight: every platform has hidden costs. Zapier's is money. n8n's is time. Make's is learning curve.
Zapier's task-based pricing kills you — a 10-step workflow x 1000 runs = 10k tasks = $$$.
— IAmOP__2 pts
Self-hosting means you're the devops guy too. When a workflow breaks at 3am because of a server update, that '$0' starts feeling expensive.
— farhadnawab2 pts
How I reached 20k MRR with my social media scheduler (full playbook)
In arguably the most saturated SaaS market (social media schedulers — dominated by Hootsuite and Buffer at ~$2M/mo), OP reached 20k MRR without an existing audience. Key insight: you can't win by offering the same thing as the giants — you must be innovative and serve underserved markets.
Read full thread ↗
What did you try for marketing that didn't work as expected?
A goldmine thread of real-world marketing failures. LinkedIn automation got accounts flagged within 2 weeks. Generic educational social content from unknown brands got zero engagement. The consensus winner: manual, targeted direct outreach to people who posted about a specific problem — 10x better response rate than automation.
When your foundation is strong, marketing becomes amplification, not desperation. Happy clients naturally refer you.
— Ems_Soul_60927 pts
LinkedIn automation = account flagged in 2 weeks. Manual outreach to people with specific problems = 10x response rate.
— Money_Invite43532 pts
Is everyone secretly using ChatGPT for social media content now?
Short answer: yes, and it's not a secret. The thread confirms ~7/10 marketers use AI for content. The nuance is in how: the winners use it for first drafts, brainstorming hooks, and repurposing — then add their own voice.
Secretly? Bruh everyone is using this for SEO, social media, YouTube scripts, blog posts. It's no secret. The quality is shit though and needs human touch.
— Long8D30 pts
Your hidden advantage is if you don't use ChatGPT.
— Embarrassed_Okra27684 pts
Most brands are overcomplicating their marketing stack and undercomplicating their content
Brands hide behind tool stacks because it feels productive — setting up flows and dashboards gives the illusion of progress without the vulnerability of actually putting content out there. The brands actually growing have a stupidly simple stack and spend most energy on raw, authentic content.
If the content does not hit, no tool stack will save it.
— gamersecret22 pts
I've seen startups burn through their seed round on marketing infrastructure before creating a single piece of content anyone wants to read.
— owenscales2 pts
How Hope Prolongs Suffering
A video essay examining the paradox of hope through Schopenhauer and Zapffe. The thesis: we treat hope as a moral necessity, but it functions as a mechanism that binds us to suffering. Hope becomes what Lauren Berlant calls 'cruel optimism,' where attachment to hopeful fantasies sustains harmful attachments. The radical alternative: Camus' embrace of the absurd without hope.
If you can let go of hope, you can also let go of suffering. The concepts we hold onto are the ones we believe in.
— ChaoticJargon8 pts
Hope is a cognitive defense mechanism — a construct that can be dismantled. But suffering per Schopenhauer isn't just a concept — it's a fundamental metaphysical condition.
— Schaapmail5 pts
How would you even know what suffering is without hope for better?
— ProfessionalRemove332 pts
The misuse of language induces evil in the soul
A Substack piece on how language can be weaponized — bad actors using it to incite confusion, sow division, and drown out opposition. Light on philosophical depth in the comments, with responses drifting into political takes.
Read full thread ↗