Prometheus

In battle, as in code, uncertainty is the most dangerous enemy. Do not get trapped by the illusions created by the system. Stay calm, analyze sharply, and use

[Prometheus @PrometheusLog]

Why

[Air-crypto @0x0_air]

都别续费了，直接用 Codex 写一个指纹浏览器。

现在已经有不少开源的指纹浏览器了，把这几个 GitHub 仓库丢给 Codex，让它参考这些开源项目，再帮你写一个符合自己需求的版本就行。

买的那些指纹环境，不仅要一直续费，还得考虑安全风险。

VirtualBrowser：
https://t.co/Sp4fZcoojN

Donut Browser：
https://t.co/cC8mKHCku0

Ant-Browser：
https://t.co/hvQDnhwJsX

[Harman @itsharmanjot]

Every project management tool was designed by project managers, for project managers.

This one was designed for ADHD, dyslexic, and autistic brains instead. And it turns out that also makes it better for literally everyone who just wants to get work done without configuring a tool for two weeks first.

It’s called Leantime.

Most PM tools throw you straight into a task board and expect you to already know what a “sprint” is. Leantime is built around a different idea: tasks should trace back to a goal, not float in a backlog with no reason attached.

→ Ships with strategic planning tools, Lean Canvas, SWOT analysis, built to connect the “why” to the actual task list, not just a bare Kanban board

→ The same tasks render as Kanban, table, or list, whichever your brain processes better on a given day

→ Gantt-style milestone timeline, a built-in project wiki, and time tracking, all native, not four separate tools stitched together

→ Interface is deliberately built to reduce cognitive overload and context-switching, an actual design principle here, not an accessibility checkbox added later

→ Self-host via Docker in under an hour, your team’s entire project history stays on a server you control

Jira was built assuming a certified project manager runs the workflow. Most teams are five people trying to ship something, not an enterprise PMO. Leantime is what a PM tool looks like when it’s built for the second group.

Open source. AGPL-3.0. 10,000+ GitHub stars.

[Laraib Fatima‎ @AiwithLariab]

To One-Click 4K Restoration Prompt
Bring blurry, faded, and damaged photos back with natural colors and stunning clarity.

GPT IMAGE 2 on CHAT GPT:

PROMPT:
Restore and enhance an old damaged photo. Remove scratches, stains, and noise. Reconstruct faded or torn areas while preserving original details. Slightly sharpen the image for better clarity, but keep it realistic. Apply natural and era-appropriate colors to skin, hair, and clothing. Use a soft, balanced background color without being too striking. The final result should look like an old photo that has been realistically restored and colorized, while respecting its original appearance.

[DHH @dhh]

Lexxy is the modern rich text editor for Rails. And now it has a beautiful site with lovely demo front and center. This is the editor we put in Basecamp 5. Such a big level up over Trix. From tables to syntax highlighting. https://t.co/KvFzjW9QS3

[painn @_0xpainn]

SpaceXai just made grok 4.5 FREE in your coding agent starting today

it's xAI's new coding model. 500k context. built for long agent sessions. no card.

what you get for $0:
-83.3% on terminal-bench 2.1
-64.7% on swe-bench pro - 4.2x more efficient than Opus 4.8
-500k context for big repos
-$2/M in, $6/M out once it goes paid

what this replaces:
-Claude Opus 4.8: $15/M in, $75/M out
-SuperGrok: $30-50/mo

all for $0

how to set it up (2 min):
>curl -fsSL https://t.co/Yasl978uww | bash
> grok → localhost:8000/v1
> point hermes / aider / opencode / cline to it
> model: grok-4.5

Or API key at https://t.co/mO623B5TMI - base url https://t.co/xTvO6K4giB.

Works in Hermes, Aider, OpenCode, Cline, Claude Code, and any OpenAI-compatible tool.

Important: Free for a limited time. EU waits till mid-July. Rate limits apply.

bookmark this before the free window closes

[Yusuke Wada @yusukebe]

Introducing ax - the AI-era curl!

One command to code agents to fetch, discover, and extract from the web. No more curl + throwaway `python`.

Token-cheap, structured, never silent.

https://t.co/qRSFYOdbyW

[Farea @FareaNFts]

🚨 Elon Musk (Grok 4.5) and Mark Zuckerberg (Meta) muse spark 1.1 both launched in 24 hours - both free to use right now and both beating claude opus 4.8 on agentic coding 👀

best part: one is in your IDE, other is in your browser, both cost $0

source 1: grok 4.5 (spacexAI + cursor)

- swE-Pro 64.7% - beats muse spark (61.5%) on pure coding
- DeepSWE 53.0% - agentic software engineering
- free for limited time in cursor (all plans) and grok build
- $2/M input when paid - cheapest opus-class model
- cursor native model, just select it from the dropdown

source 2: muse spark 1.1 (meta)

- swE-Pro 61.5% - +43 points over the original muse spark
- MCP Atlas 88.1% - beats everyone on tool use
- OSWorld 80.8% - computer use leader
- Toolathlon 75.6% - agentic task leader
- free forever on https://t.co/lLidy3qvsb (thinking mode)
- $20 free credits on meta model API
- $1.25/M input ($15/M for opus 4.8)

total replaced: claude opus 4.8 ($15/M input, $75/M output) + gpt 5.5 ($10/M input)

total cost: $0

how to grab both (5 min):

grok 4.5:
1. open cursor desktop, web, or CLI
2. settings > models > select grok 4.5
3. or open grok build at https://t.co/M6DcxnhFBl
4. start coding - free for limited time, no key needed
5. for API: https://t.co/LoJBjA9Uqs, set base url to https://t.co/tQh0svJcyn

muse spark 1.1:
1. https://t.co/lLidy3qvsb - toggle thinking mode - free forever
2. for API: https://t.co/4TV0KKew8G
3. sign up, $20 free credits loaded
4. set base url to meta's openai-compatible endpoint
5. paste your key, model: muse-spark-1.1
6. works in cline, opencode, replit, any openai-compatible tool

both models beat claude opus 4.8 on agentic benchmarks
one is free forever in browser, one is free in cursor
grab the $20 API credits before the launch promo gets tight

bookmark this before these models start charging

[PA13L0 @Fluyeporlaweb]

https://t.co/qkww1qj1uq

Más herramientas así en mi canal de Telegram: https://t.co/ANlD2Ch1y9

[CyrilXBT @cyrilXBT]

ANOTHER MASSIVE WIN FOR LOCAL AI.

Kyutai quietly dropped a text to speech model that runs on your CPU.

100 million parameters. No GPU. Zero API fees.
It bypasses the usual bottlenecks entirely.

→ 6x faster than real time on a Mac
→ ~200ms latency to the first audio chunk
→ Voice cloning from just 5 seconds of audio
→ 6 languages out of the box

100% free. MIT licensed. Trained only on public data.

Voice cloning just became a laptop feature that never touches a server.

Bookmark this. Follow @cyrilXBT

[智享 @CycleDecoded]

天下苦网页视频下载久矣！GitHub 上新出的这个高颜值神器，直接把全网流媒体扒视频的门槛踩得稀碎。

这是开源项目 zhiyiYo/Fluent-M3U8，一个跨平台 m3u8/mpd 格式下载器。GPL-3.0 协议，目前在 GitHub 已经狂揽 1.5k+ Star。懂行的都知道，现在大部分网站的视频全是切成碎片的流媒体，平时想保存只能靠敲黑框命令行去抓，极其反人类。这老哥直接把市面上最强的内核打包进了一个美到离谱的客户端里，鼠标点两下就能用，白嫖党狂喜。

👇 核心干货：

无脑傻瓜式：复制链接直接下，彻底告别繁琐代码。

颜值太打了：���生 Fluent 风格界面，比商业软件还丝滑。

通杀流媒体：完美支持 M3U8 和 MPD，全网视频基本都能抓。

直接榨干宽带：多线程并发加持，几G的视频直接跑满网速。

跨平台护体：Win、Mac、Linux 三大系统全端通吃。

🔗 项目地址：https://t.co/hcBOKguYek

[QCXINT @QCXINT_]

🚨 Looking for an open-source alternative to CapCut?

Check out OpenCut.

A cross-platform video editor built for Web, Desktop, and Mobile.

Perfect if you're tired of more editing features being locked behind a paywall.

Open source:
https://t.co/tFLZjQ71hi

[Zakiego @zakiego]

Kalau punya token berlebih dan bingung ngapain, cobain prompt ini aja:

"Migrate the project to TanStack Start and deploy it to Cloudflare" 🙏

[徐伦 @Jolyne_AI]

GitHub 上一款免费开源的跨设备文件共享利器：MicroBin，让“文件助手 / 网盘中转”彻底退场。

体积只有几 MB，却把常用的临时分享都包圆了：文本粘贴、文件上传、URL 重定向；还支持服务端加密与二维码生成，传得快，也更安心。

GitHub：https://t.co/EmGFPENLa6

官网：https://t.co/wicnDvi1Dy

亮点功能一览：

- 单个可执行文件，部署极简，占用仅几 MB
- 三种分享方���：文本 / 文件 / URL 重定向
- 服务端 + 客户端双重加密，隐私更有保障
- 用动物名称做标识符，链接更好记、更好用
- 自动生成二维码，手机一扫直达内容
- 可设置过期时间与访问权限，分享范围随你控

支持 Docker 一键部署，也可直接下载运行。需要一个轻量、私密、顺手的“临时中转站”，可以试试 MicroBin。

[جوالي @jawal_logy]

لو عندك حساب وتبي تحذفه بشكل نهائي سناب او تويتر او انستقرام او حساب سويته في اي موقع مشهور

من خلال هذا الموقع تقدر تحذفه بشكل نهائي

https://t.co/zPNqN4FEM8

[Charly Wargnier @DataChaz]

ANOTHER MASSIVE WIN FOR LOCAL AI 🚀

ICYMI @kyutai_labs quietly dropped a super lightweight Text-to-Speech application designed to run efficiently on CPUs.

Only 100M parameters. No GPU needed. Zero API fees 🤯

It completely bypasses the usual token-transformer bottlenecks to deliver wildly fast performance:

→ 6x faster than real-time on a Mac
→ ~200ms latency to the first audio chunk
→ Voice cloning from just 5 seconds of audio
→ 6 languages out of the box

Best of all?

It's 100% free and open-source.

MIT licensed and trained exclusively on public data.

Repo in 🧵↓

[Asep Bagja 🍍 @bepituLaz]

Agar kalian semua tidak perlu buang-buang token untuk bikin hal serupa. Aku jadikan Obsidian MCP serverku sebagai open-source. https://t.co/E0qaAok4hZ

Silakan deploy di server masing-masing.

Fitur utama: multiuser dan multi-vault. Detail workflow-ku saat pakai ini nanti menyusul ditulis jadi artikel.

[Eyisha Zyer @eyishazyer]

To 4k Image Upscaler prompt

The prompt is also work for restoration of missing details and most important the colour bits with lighting.

PROMPT:
Restore and enhance an old damaged photo. Remove scratches, stains, and noise. Reconstruct faded or torn areas while preserving original details. Slightly sharpen the image for better clarity, but keep it realistic. Apply natural and era-appropriate colors to skin, hair, and clothing. Use a soft, balanced background color without being too striking. The final result should look like an old photo that has been realistically restored and colorized, while respecting its original appearance.

[How To Prompt @HowToPrompt__]

China has open-sourced a sandbox that:

→ boots in 60ms (docker takes 200ms)
→ uses 5MB of RAM per instance
→ runs thousands of AI agents on one machine
→ isolates every agent at the hardware level
→ drops into your E2B code by swapping one URL

It’s called CubeSandbox, a hardware-isolated sandbox for AI agents that cold-starts in under 60ms with just 5MB of memory overhead.

It's a drop-in E2B replacement. Swap one URL. Keep your code. Kill the bill.

no Docker. no shared kernel. no cold start tax.

100% open source.

[Tulsi Soni @shedntcare_]

🚨 BREAKING: Alibaba just dropped a vector database that could change RAG forever.

Meet Zvec

✅ No server. No Docker. No cloud bills.
✅ pip install zvec and you're ready in under a minute.
✅ Dense + sparse + hybrid search in one API.
✅ Searches billions of vectors in milliseconds.
✅ 100% Open Source (Apache 2.0).

If you're building AI apps, this is worth checking out.

GIVEAWAY: I'm giving 10 people access to my favorite AI resources & tools.

To enter: Like & Repost + Comment "ZVEC"

Winners will be announced in 48 hours.

🔗 Link in the first comment.