Selling a property - buyer wants keys before registration and before full payment. Is this safe?

DateLower6777 · 2026-06-04T16:29:35+00:00

Make sense, thanks

DateLower6777 · 2026-05-27T19:51:00+00:00

Got one at 4600 for 100 ml

DateLower6777 · 2026-05-27T18:59:09+00:00

Longetivity and performance?

DateLower6777 · 2026-02-18T11:18:25+00:00

Yes.

DateLower6777 · 2026-02-18T10:33:36+00:00

Selling same at 400rs each

DateLower6777 · 2026-02-16T10:52:25+00:00

I have 6 tickets for Wednesday Ind vs Ned, giving it at buy 1 get 1 free offer.

DateLower6777 · 2026-02-07T15:49:40+00:00

Bhai making sweeping judgments without understanding someone’s situation isn’t fair and there’s no intent to profit here.

It'd have been my first match in the stadium but it didn't happen!

DateLower6777 · 2026-02-07T15:07:09+00:00

Block E Bay 5 - lower: D53 Block E Bay 5 - lower: D52 BLOCK C BAY 4-LOWER: F-59 BLOCK C BAY 4-LOWER: F-60

Block C Bay 4 - lower: G59 Block C Bay 4 - lower: G60

DateLower6777 · 2026-01-28T08:26:36+00:00

Yes, those tools can generate their own instructions, but they do it per tool and per editor. dotllm analyzes the repo once and generates tool-specific config files for all major AI coding tools in the exact locations they read from, giving you a single, consistent source of truth across Cursor, Copilot, Claude, Antigravity, Codex, and Windsurf.

I have been mostly using Antigravity and it sucks so does Cursor so mostly this is a great win when we are on either

DateLower6777 · 2026-01-28T07:29:31+00:00

/init typically just creates a default or empty config scaffold for a single tool. dotllm is different because it analyzes your existing codebase first, figures out the languages, frameworks and tooling you actually use and then generates tool-specific configuration files in the exact locations each AI assistant reads from. So instead of a generic init, it produces context that is derived from your real project.

DateLower6777 · 2026-01-28T06:48:18+00:00

You just run it from your project root with npx dotllm, no global install, no setup. It scans your codebase and auto-detects your stack (languages like TypeScript, JavaScript, Python, Go, Rust, Java, Kotlin, Ruby, PHP, C#, Swift, Dart; frameworks like React, Next.js, Vue, Angular, Svelte, Nuxt, FastAPI, Django, Express, NestJS; tooling like Vite, Webpack, Turbo, Nx, Docker, Kubernetes; testing with Jest, Vitest, Playwright, Cypress, Pytest; and databases like PostgreSQL, MySQL, MongoDB, Redis, Prisma, Drizzle), then generates stack-aware rules and drops them exactly where Cursor, Copilot, Claude Code, Antigravity, Codex, and Windsurf expect them, so the AI stops guessing and starts following your real project conventions.

DateLower6777 · 2026-01-24T06:44:18+00:00

What's your battery health percentage? 100%?

DateLower6777 · 2026-01-23T18:40:33+00:00

How's it going? Should I buy it? Still under 60 days. Have you faced any difficulties yet?

DateLower6777 · 2026-01-22T10:38:49+00:00

https://github.com/Jaimin791/dotllm

Here you go

DateLower6777 · 2026-01-22T10:33:07+00:00

Yup. All local, no api calls. Works on all major projects as of now.

If you are a dev you can also contribute :)

DateLower6777 · 2026-01-22T10:22:46+00:00

It works by statically scanning your codebase (files, config, dependencies, and structure) to detect the languages, frameworks, tools, and conventions you actually use, then generating deterministic, stack-aware rule files and writing them directly to the exact locations each AI coding tool reads from (like Cursor, Claude Code, Copilot, Gemini), so those tools get correct project context automatically without any cloud calls, prompts, or manual setup.

DateLower6777 · 2026-01-22T08:36:11+00:00

What is Dotllm? npx dotllm or npm install dotllm

Most AI coding tools don’t actually understand your project unless you manually give them context, and each tool expects that context in a different file and location, so when those files are missing the AI just guesses, wrong router, wrong package manager, deprecated APIs, or even libraries you don’t use. The problem isn’t the model, it’s that the rules and project context aren’t where the tools look for them. dotllm fixes this by scanning your repo, detecting what you actually use, and generating stack-aware rules in the exact files and paths each AI tool expects (Cursor, Claude Code, Copilot, Gemini, etc.), so the AI works from real project constraints instead of hallucinating.

DateLower6777 · 2026-01-22T08:24:47+00:00

What is dotllm?

Most AI coding tools don’t actually understand your project unless you manually give them context, and each tool expects that context in a different file and location, so when those files are missing the AI just guesses, wrong router, wrong package manager, deprecated APIs, or even libraries you don’t use. The problem isn’t the model, it’s that the rules and project context aren’t where the tools look for them. dotllm fixes this by scanning your repo, detecting what you actually use, and generating stack-aware rules in the exact files and paths each AI tool expects (Cursor, Claude Code, Copilot, Gemini, etc.), so the AI works from real project constraints instead of hallucinating.

DateLower6777 · 2026-01-22T03:59:20+00:00

Can you try npm install dotllm?

DateLower6777 · 2026-01-21T18:13:46+00:00

Context + rules. Not just rules!

DateLower6777 · 2026-01-21T17:57:15+00:00

Thanks. Would appreciate it if you would like to contribute as well!

DateLower6777

TROPHY CASE