johnxie

5 ms·

1.
by johnxie 6d ago
We built this after running into a lot of date/time parsing edge cases while working on scheduling at Taskade. Eventually adding more regexes and special cases stopped making sense, so we tried treating temporal strings more like a sma
2.
Show HN: Temporal Parser – A compiler-style parser for date/time strings(lxcid.com)
3 points by johnxie 6d ago|1 comments
3.
History of Anthropic(taskade.com)
2 points by johnxie 6mo ago|0 comments
4.
by johnxie 6mo ago
yep, and weekends = most reliable ;) adoption = def growing
5.
by johnxie 7mo ago
Sonnet is up Opus is Err500
6.
Awesome Vibe Coding – 245 AI coding tools and resources(github.com)
1 points by johnxie 7mo ago|0 comments
7.
by johnxie 8mo ago
loading for me
8.
by johnxie 8mo ago
Timing here is funny. Moltbook is just starting to show up on HN and Reddit as Moltbot lore, with agents talking to agents and culture forming. Once agents have tools and a shared surface, coordination appears immediately. https:/&#x2
9.
by johnxie 8mo ago
Hey HN, I'm John, co-founder of Taskade. We spent some time turning our GitHub org profile into a full architecture overview in ASCII art, box-drawing characters, and markdown tables. Workspace DNA, how our AI agents work, the Genesis
10.
Show HN: Our GitHub org profile in ASCII art(github.com)
1 points by johnxie 8mo ago|1 comments
11.
by johnxie 9mo ago
Connecting the dots from agents to workflow automation to infrastructure with Taskade Genesis. LLMs made it easy to generate apps. The harder problem is running them as real businesses. Where they live, remember state, coordinate agents, tr
12.
by johnxie 10mo ago
Cool to see open models catching up fast. For builders the real question is simple. Which model gives you the tightest loop and the least surprises in production. Sometimes that is open. Sometimes closed. The rest is noise.
13.
by johnxie 10mo ago
Remote is awesome until you hit the limits of it. We tried building with 3 founders across 3 timezones. On a good day it felt magical. On a bad day it felt like the kind of lag you remember from SC BW, CS 1.6, or classic WoW raids where one
14.
by johnxie 10mo ago
I kinda smile seeing this growing up in the real public_html days… Xanga, Geocities, Angelfire, copying HTML from those old Scholastic books to make my first little interactive Pokemon map to hosting WoW guild sites, DKP boards, CS 1.6 serv
15.
by johnxie 10mo ago
The patterns are interesting, but they don’t imply “instructions.” Networks with thresholds self-organize long before they do anything meaningful. Good developmental signal, not evidence of built-in knowledge.
16.
by johnxie 10mo ago
Feels like pricing is becoming a moving target again. Cursor’s experiments showed how fast teams will change plans the moment usage patterns shift, and LLM speed only accelerates that loop. Every new model drop forces you to rethink what’s
17.
by johnxie 10mo ago
Kudos on the launch! Most of the real work isn’t the chat box. It’s keeping context stable, memory reliable, and tool calls from drifting when things get complex. That’s where projects usually break, and also where the interesting problems
18.
by johnxie 10mo ago
I don’t think he meant scaling is done. It still helps, just not in the clean way it used to. You make the model bigger and the odd failures don’t really disappear. They drift, forget, lose the shape of what they’re doing. So “age of resear
19.
Awesome Code Docs: 60+ Deep-Dive Tutorials on AI, Databases, and Dev Tools(github.com)
1 points by johnxie 1y ago|0 comments
20.
Evolution of Minimum Viable Product(raspasov.posthaven.com)
29 points by johnxie 1y ago|27 comments
21.
by johnxie 1y ago
LLMs aren’t perfect, but calling them a “cult” misses the point. They’re not just fancy heuristics, they’re general-purpose function approximators that can reason, plan, and adapt across a huge range of tasks with zero task-specific code.
22.
MCP: AI Agents' Superpower for Real-World Context and Automation(taskade.com)
2 points by johnxie 1y ago|0 comments
23.
Show HN: Generate AI agent tools from any OpenAPI spec (Claude, Cursor, etc.)
4 points by johnxie 1y ago|0 comments
24.
by johnxie 1y ago
For O-1s filed by startups, what are the most common weak points USCIS flags now? Are you seeing more RFEs around equity or funding documentation?
25.
by johnxie 1y ago
Built Taskade by solving my own workflow pain points, need for structured note taking, and our team being remote, fully distributed. Launched on Product Hunt, joined niche subreddits/communities, responded to feedback fast, and kept sh
26.
by johnxie 1y ago
Working on Taskade ( https://www.taskade.com ), building the execution layer for AI collaboration. Taskade started as a real-time workspace for teams to organize projects and ideas. It's evolved into something bigger — a plat
27.
by johnxie 2y ago
Merry Christmas and happy holidays everyone! My dad’s birthday is on Christmas, so it was always a double celebration. Growing up in Queens, we’d sometimes go to Atlantic City, taking a Greyhound or driving once we had a car. We’d head to B
28.
Agentic Workflows: Paving the Path Towards AGI(taskade.com)
2 points by johnxie 2y ago|0 comments
29.
by johnxie 2y ago
I’m working on https://taskade.com , which started as a unified workspace for distributed teams to collaborate. Now, it’s become a playground for AI agents that work alongside you. These AI agents think, learn, and act—handling t
30.
Agentic AI Systems – The Next Evolution of Work(taskade.com)
2 points by johnxie 2y ago|0 comments

More ›