Popo Dev

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Popo Dev

Popo Dev

@popoxdev

Bootstrapping my SaaS as a student, CS major doing LLM research, Building https://t.co/hrJYGqjHyd - Record demo videos for your product 🎥

Software Engineer Inscrit le Aralık 2024
101 Abonnements95 Abonnés
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Popo Dev
Popo Dev@popoxdev·
When I have time I like to build project on the side. The annoying thing is that showcasing them always takes hours. Just a quick demo takes the entire day. Happy to launch a new version of ScreenDemos with - Automatic zoom effects - Custom backgrounds - High quality video export Managed to record this demo in a few takes today 👇
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Popo Dev
Popo Dev@popoxdev·
AI makes building easier but most people don’t want to maintain software
Jason Fried@jasonfried

A bespoke software revolution? I don't buy it. It'll exist. It already exists. Small consultants and big consulting firms have made custom software for years. It almost always sucks. It’s bloated, confusing, and because the client pays, it’s built wrong in all the ways. Who’s excited about bespoke software? Software makers! Of course they're excited about building bespoke software — that's what they do. X is full of them. Your feed is full of people who love making software talking about making software. Of course they’re excited about the revolution. Echo, echo, echo... Most people don’t like computers. Nobody in tech wants to say that out loud. People tolerate computers. They use them because they have to. Given the choice, most would rather not think about them at all. So when someone suggests that AI means everyone will build their own custom tools, ask who "everyone" is. The three-person accounting firm drowning in client paperwork? They want the paperwork gone, not a new system to maintain. The regional logistics company with 40 trucks? They want the routes optimized, not Joe spouting off about this new system he’s been messing around with. The law firm billing 70-hour weeks? They want leverage on their time, not a software project to design. They don’t hate technology. But building and maintaining their own critical systems isn’t their wheelhouse, regardless of how much faster and easier it’s become. It's another job on top of the job. Will these people use AI? Absolutely, for all sorts of things. Will some outliers go deep and build real custom systems? Sure, but they're almost always people who already had some pull toward software. The curiosity was already there. They were dabblers before. Giving everyone access to software building tools doesn't mean everyone becomes a builder. A powerful excavator doesn't turn a homeowner into a contractor. Most people just want the hole dug by someone else. They don’t want the responsibility either.

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Popo Dev
Popo Dev@popoxdev·
@karpathy multi-agent branches or forks sounds like an interesting direction
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Andrej Karpathy
Andrej Karpathy@karpathy·
The next step for autoresearch is that it has to be asynchronously massively collaborative for agents (think: SETI@home style). The goal is not to emulate a single PhD student, it's to emulate a research community of them. Current code synchronously grows a single thread of commits in a particular research direction. But the original repo is more of a seed, from which could sprout commits contributed by agents on all kinds of different research directions or for different compute platforms. Git(Hub) is *almost* but not really suited for this. It has a softly built in assumption of one "master" branch, which temporarily forks off into PRs just to merge back a bit later. I tried to prototype something super lightweight that could have a flavor of this, e.g. just a Discussion, written by my agent as a summary of its overnight run: github.com/karpathy/autor… Alternatively, a PR has the benefit of exact commits: github.com/karpathy/autor… but you'd never want to actually merge it... You'd just want to "adopt" and accumulate branches of commits. But even in this lightweight way, you could ask your agent to first read the Discussions/PRs using GitHub CLI for inspiration, and after its research is done, contribute a little "paper" of findings back. I'm not actually exactly sure what this should look like, but it's a big idea that is more general than just the autoresearch repo specifically. Agents can in principle easily juggle and collaborate on thousands of commits across arbitrary branch structures. Existing abstractions will accumulate stress as intelligence, attention and tenacity cease to be bottlenecks.
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Fivos Aresti
Fivos Aresti@fivosaresti·
Companies are going to start paying GTM Engineers $150K+/year. They can do it all: 1. Set up email infrastructure 2. Build targeted lists 3. Enrich data from multiple sources 4. Score leads into tiers 5. Route leads to reps 6. Run automated outbound 7. Build awareness scores 8. Orchestrate inbound systems That said... I put together a full cheatsheet that covers the entire role from start to finish... • Strategy plays for warm, signal-based, and cold outreach. • Data aggregation across CRM, 1st party, 2nd party, 3rd party, and database sources. • Data enrichment workflows to filter, normalize, score, qualify, and segment. • Data activation across outbound, RevOps, content, and ads. Plus full outbound and inbound sales workflow breakdowns... KPIs for production, distribution, and conversion... And a curated book list to go deeper. Whether you're a GTM engineer, sales leader, or founder doing outbound yourself... This is the only reference guide you need. If you want it for free: Comment "GTME" And I'll send it over ASAP. PS - This cheat sheet includes 20+ tools, 8 book recommendations, and frameworks used by top GTM teams generating millions in pipeline.
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Yuchen Jin
Yuchen Jin@Yuchenj_UW·
PewDiePie: “I trained a model that beats Llama-4, DeepSeek v2.5, and GPT-4o on coding.” Looking into it. It’s a fine-tuned Qwen2.5-32B, evaluated on ONE benchmark: Aider Polyglot. Peak benchmaxxing lol.
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Popo Dev retweeté
Om Patel
Om Patel@om_patel5·
someone vibe coded a 3d city where every github developer is a building more commits = taller building. more repos = wider base. lit windows = recent activity
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Popo Dev
Popo Dev@popoxdev·
@paulg So many changes and new opportunities
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Paul Graham
Paul Graham@paulg·
I meet a lot of founders who are worried by the rapid rate of technological change. They shouldn't be. It may feel uncomfortable, but techno-turbulence is net good for startups. They're much more likely to adapt successfully to some big change than incumbents are.
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Popo Dev
Popo Dev@popoxdev·
@ctatedev Really cool are the design better than directly prompting for html/css?
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Chris Tate
Chris Tate@ctatedev·
Introducing json-render AI-generated UI. Deterministic output. 1. Define your component catalog 2. AI steams JSON 3. Render interactive UI Let users prompt dashboards, widgets and apps - safely constrained to components and actions you define
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Yuchen Jin
Yuchen Jin@Yuchenj_UW·
OpenAI and Anthropic have opposite cultures. OpenAI runs like a modern Bell Labs. 2-3 researchers spin up projects like GPT & Sora, then turn them into products. Maximal ambition, from each kind of model to robotics to AI device. Anthropic is brutally focused. They believe coding is the path to AGI. Everything else is noise. No image models. No video models. No vagueposts. It will be fascinating to see which one wins.
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Felix Lee
Felix Lee@felixleezd·
Design is the differentiator in AI era. Companies are waking up to the importance of having good design. Today, @ADPList is releasing an extraordinary collection of 90 winning design tactics used by the world's best products like Duolingo, Airbnb, Figma and more. This is a blueprint for design, proven by the best, and ready for you to use—we believe craft is eating the world. Want a copy? Just raise your hands below, I will send it to you!
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Popo Dev
Popo Dev@popoxdev·
@rakyll How much details was given to Claude. Was it the already designed plan or just a description?
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Jaana Dogan ヤナ ドガン
I'm not joking and this isn't funny. We have been trying to build distributed agent orchestrators at Google since last year. There are various options, not everyone is aligned... I gave Claude Code a description of the problem, it generated what we built last year in an hour.
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NeetCode
NeetCode@neetcode1·
Never thought I would say this, but I kinda miss when everyone was arguing about new JS frameworks.. a simpler time it was
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Popo Dev
Popo Dev@popoxdev·
Goal for 2026: - Bootstrap to 10k MRR Will come back when I reach it
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Popo Dev
Popo Dev@popoxdev·
@adamdotdev It’s dope let the new generation have some fun
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Adam
Adam@adamdotdev·
Man how lucky are millennial devs, just as we’re getting too old and tired for this job, all the tedium gets magically removed and there’s an amplifier that makes all of our knowledge 1000x more useful (and necessary)
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Popo Dev
Popo Dev@popoxdev·
Always cool to see users getting value from your product 🎉 It's not easy but let's keep building useful projects
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Popo Dev
Popo Dev@popoxdev·
@petergyang It’s changing very fast nice reflections
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Peter Yang
Peter Yang@petergyang·
Two great engineers reflecting on how the profession is fundamentally changing with AI
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Josh tried coding
Josh tried coding@joshtriedcoding·
nothing better than coding on christmas man 🦖
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Kevin Naughton Jr.
Kevin Naughton Jr.@KevinNaughtonJr·
damn faang really is dead
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