jon_amen | Polymarket — 12/18/24, 11:52 AM
Today, we are releasing some documentation for Polymarket Data-API:
https://polymarket.notion.site/Polymarket-Data-API-Docs-15fd316c50d58062bf8ee1b4bcf3d461Power users and developers can use this API to:
- List their positions
- Track top holders of a market
Discover gists
shaunlebron
/ polymarket-data-api-docs.md
Last active
February 18, 2026 00:49
Polymarket Data API Docs
divideby0
/ alvr-foveated-streaming-issue.md
Last active
February 18, 2026 00:48
Feature request draft: Integrate Apple's Foveated Streaming framework into ALVR for eye-tracked foveated encoding on Vision Pro
Apple dropped the Foveated Streaming framework today (visionOS 26.4 beta) along with a reference implementation. It's a first-party API that gives streaming apps access to gaze-directed foveation data — the thing that's been blocked by Apple until now.
Directly relevant to #20, #133, and #157. As @shinyquagsire23 noted in #133: "Eye tracking is an Apple limitation." This framework is Apple's answer.
The whole thing is built around a session management protocol that's transport-agnostic:
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| """ | |
| The most atomic way to train and run inference for a GPT in pure, dependency-free Python. | |
| This file is the complete algorithm. | |
| Everything else is just efficiency. | |
| @karpathy | |
| """ | |
| import os # os.path.exists | |
| import math # math.log, math.exp |
iam-veeramalla
/ openclaw_with_ollama.md
Created
February 15, 2026 11:26
openclaw with ollama (Zero cost AI Assistant)
Stable Diffusion's VAE is a neural network that encodes images into a compressed "latent" format and decodes them back. The encoder performs 48x lossy compression, and the decoder generates new detail to fill in the gaps.
(Calling this model a "VAE" is sort of a misnomer - it's an encoder with some very slight KL regularization, and a conditional GAN decoder)
This document is a big pile of various links with more info.
Prompts to recreate each piece of the OpenClaw system. Use these with any AI coding assistant.
1. Personal CRM "Build a personal CRM that automatically scans my Gmail and Google Calendar to discover contacts from the past year. Store them in a SQLite database with vector embeddings so I can query in natural language ('who do I know at NVIDIA?' or 'who haven't I talked to in a while?'). Auto-filter noise senders like marketing emails and newsletters. Build profiles for each contact with their company, role, how I know them, and our interaction history. Add relationship health scores that flag stale relationships, follow-up reminders I can create, snooze, or mark done, and duplicate contact detection with merge suggestions. Link relevant documents from Box to contacts so when I look up a person, I also see related docs."
2. Meeting Action Items (Fathom)
Zero-configuration automatic Serena MCP server management for Claude Code
Transparently starts exactly one Serena instance per project with unique ports. No per-project setup required!
- Zero Configuration: Just run
claude- Serena starts automatically - Per-Project Isolation: Each project gets its own Serena instance on unique ports (9000+)
NewerOlder