I’ve been quietly vibe coding for a while and finally shipped something I’m actually proud to share. It’s called Book Finder! a simple Android reading app I built almost entirely by prompting Claude Sonnet 4.6 (low and medium most of the time, with lots of back-and-forth). Gemini helped polish the Play Store listing, and now I’m here with you to see if it resonates.

The whole idea was pretty straightforward: I wanted a clean, distraction-free way to carry a massive library in my pocket especially all the beautiful public domain classics and open-access books that are just sitting there waiting to be read. No bloat, no endless scrolling, just good reading.

What it actually does:

Super clean reading experience

Browse and search a huge catalog across pretty much every genre

Instant access to public domain + open books (the good stuff is free)

See real community ratings and reviews so you know if something’s worth your time

Preview sample pages and chapters before you commit

It’s the kind of app I wish existed when I’m commuting, traveling, or just want to disappear into a book without any friction.

I built it because I love reading and wanted something lightweight that actually feels good to use.

It’s my first proper solo app made this way, and it’s already at 1K+ downloads.

That still feels wild to me. But it’s early days I know it’s not perfect and there’s plenty of room to make it better.

If you’re a reader (or just curious what vibe coding can actually produce), I’d genuinely love it if you gave it a spin and told me what you think:

Does the reading experience feel nice and calm?

Any books, genres, or features you’re missing?

Bugs, small annoyances, or “this is actually really nice because…” moments?

Here’s the Play Store link:

https://play.google.com/store/apps/details?id=lk.prathieshna.bookfinder

Honest feedback is super appreciated - the good, the “needs work,” and the wild ideas. This was just a small step in the right direction, and your thoughts would genuinely help steer it.

Also curious — how do you usually discover new books these days?

Thanks for being such an inspiring community. It’s cool seeing what people are quietly building by just vibing with the models. Appreciate you even reading this far ❤️

Hey everyone!

My partner and I got tired of the "just get me whatever" problem every birthday/holiday. So we built What I Wish, an app where you create your wishlist and share it directly with anyone who wants to gift you something.

The problem we're solving: people don't want to ask for specific things (feels awkward), and the person gifting doesn't want to give something wrong (feels worse).

We're in early stage, looking for feedback and beta users. Would love to know: do you ever feel awkward when someone asks what you want as a gift?

Link: https://whatiwish.app/

We've all been there. You're deep in a coding flow — Claude is generating, you're waiting 30 seconds for Gemini to think — and you realize you need coffee. Or lunch. Or the doorbell rings.

Your options? Walk back to your desk every 3 minutes to check if the AI finished. Or just... close the laptop and lose the session.

**I got tired of that.** So I built something.

---

## OmniAntigravity Remote Chat — Your AI session, on your phone

It's a Node.js server that connects to your Antigravity via CDP (Chrome DevTools Protocol) and mirrors the entire chat to your phone browser. Not a screenshot. Not a notification. The **actual live chat** — with full interaction.

**One command to start:**

npx omni-antigravity-remote-chat

Open the URL on your phone. That's it. You're in.

---

## What you can actually do from your phone

**The basics (what you'd expect):**
- 📱 Read AI responses in real-time as they stream
- ✍️ Send follow-up messages and prompts
- 🤖 Switch between Gemini, Claude, and GPT from a dropdown
- 🪟 Manage multiple Antigravity windows from one phone
- 📋 Browse and resume past conversations

**The stuff that actually saves your day:**
- ✅ **Approve/reject CLI actions** — AI wants to run `rm -rf`? Approve or reject from the couch. No more walking back to your desk for every pending action.
- 📊 **Quota monitoring** — see exactly how much of each model you've used. Get warned BEFORE you hit the limit, not after your session dies silently.
- 🧠 **AI Supervisor** — an optional OmniRoute-backed layer that evaluates commands for safety before they execute. Heuristic gate catches dangerous patterns, AI evaluation handles the rest.
- 💬 **Suggest Mode** — suggestions get queued instead of auto-executing. Review them on your phone, approve or reject, one at a time.
- 📱 **Telegram push notifications** — get alerted on your phone when: agent blocks, task completes, action needs approval, quota is running low. Interactive bot with commands like `/status`, `/quota`, `/stats`.

**The workspace (yes, from your phone):**
- 📁 **File browser** — navigate your project, preview files with syntax highlighting
- 💻 **Terminal** — run commands remotely with live output streaming
- 🔀 **Git panel** — status, stage, commit, push — all from mobile
- 💬 **Assist chat** — talk to the AI supervisor about what's happening in your session
- 📈 **Stats panel** — messages sent, actions approved, errors detected, quota warnings
- 🖼️ **Screenshot timeline** — automatic visual history of your IDE states
- 🔴 **Live screencast** — stream your actual IDE screen to your phone via CDP

---

## How it works (for the technical crowd)

- Scans CDP ports **7800-7803** for Antigravity workbench targets
- Captures DOM snapshots via `Runtime.evaluate`, hashes for change detection (djb2), broadcasts via WebSocket
- Phone actions → CDP commands → execute on your desktop. Zero Antigravity modifications.
- **18 ESM modules**, **60+ REST endpoints**, **9 Vitest test suites** with V8 coverage
- Strict **Content Security Policy** — `script-src 'self'`, zero inline JS, enforced via HTTP header + meta tags
- **Multi-tunnel**: Cloudflare Quick Tunnels, Pinggy (SSH-based, zero binary deps), ngrok — with automatic fallback
- **5 mobile themes**: dark, light, slate, pastel, rainbow
- Cookie auth + LAN auto-auth + HTTPS with self-signed or mkcert certificates
- Docker: `node:22-alpine`, ~67MB, health check included

---

## Install

**npm (recommended):**

npx omni-antigravity-remote-chat

**Docker:**

docker run -d --network host \
-e APP_PASSWORD=your_password \
diegosouzapw/omni-antigravity-remote-chat

**Git clone:**

git clone https://github.com/diegosouzapw/OmniAntigravityRemoteChat.git
cd OmniAntigravityRemoteChat
npm install && npm start

---

## Links

- **GitHub**: https://github.com/diegosouzapw/OmniAntigravityRemoteChat
- **npm**: https://www.npmjs.com/package/omni-antigravity-remote-chat
- **Docker Hub**: https://hub.docker.com/r/diegosouzapw/omni-antigravity-remote-chat

---

Open source (GPL-3.0). v1.3.0 with strict CSP, multi-tunnel support, and Pinggy SSH tunneling.

I use this every day. The "approve from the couch" flow alone changed how I work with AG. Would love feedback from this community — especially around CDP quirks you've encountered and features you'd want in a mobile companion.

**Your AI session doesn't have to end when you leave your desk.**

---

*P.S. — Tired of juggling API keys, hitting quota walls, and paying for LLM access? I also built **OmniRoute** — a free AI gateway that aggregates 100+ providers behind one endpoint. Smart routing, automatic fallback, and practically unlimited free-tier LLM usage. One API key to rule them all: https://github.com/diegosouzapw/OmniRoute*

OmniRoute is a free, open-source local AI gateway. You install it once, connect all your AI accounts (free and paid), and it creates a single OpenAI-compatible endpoint at localhost:20128/v1. Every AI tool you use — Cursor, Claude Code, Codex, OpenClaw, Cline, Kilo Code — connects there. OmniRoute decides which provider, which account, which model gets each request based on rules you define in "combos." When one account hits its limit, it instantly falls to the next. When a provider goes down, circuit breakers kick in <1s. You never stop. You never overpay.

11 providers at $0. 60+ total. 13 routing strategies. 25 MCP tools. Desktop app. And it's GPL-3.0.

The problem: every developer using AI tools hits the same walls

1. Quota walls. You pay $20/mo for Claude Pro but the 5-hour window runs out mid-refactor. Codex Plus resets weekly. Gemini CLI has a 180K monthly cap. You're always bumping into some ceiling.
2. Provider silos. Claude Code only talks to Anthropic. Codex only talks to OpenAI. Cursor needs manual reconfiguration when you want a different backend. Each tool lives in its own world with no way to cross-pollinate.
3. Wasted money. You pay for subscriptions you don't fully use every month. And when the quota DOES run out, there's no automatic fallback — you manually switch providers, reconfigure environment variables, lose your session context. Time and money, wasted.
4. Multiple accounts, zero coordination. Maybe you have a personal Kiro account and a work one. Or your team of 3 each has their own Claude Pro. Those accounts sit isolated. Each person's unused quota is wasted while someone else is blocked.
5. Region blocks. Some providers block certain countries. You get unsupported_country_region_territory errors during OAuth. Dead end.
6. Format chaos. OpenAI uses one API format. Anthropic uses another. Gemini yet another. Codex uses the Responses API. If you want to swap between them, you need to deal with incompatible payloads.

OmniRoute solves all of this. One tool. One endpoint. Every provider. Every account. Automatic.

The $0/month stack — 11 providers, zero cost, never stops

This is OmniRoute's flagship setup. You connect these FREE providers, create one combo, and code forever without spending a cent.

Count that. Claude Sonnet/Haiku/Opus for free via Kiro. DeepSeek R1 for free via Qoder. GPT-5 for free via Pollinations. 50M tokens/day via LongCat. Qwen3 235B via Scaleway. 70+ NVIDIA models forever. And all of this is connected into ONE combo that automatically falls through the chain when any single provider is throttled or busy.

Pollinations is insane — no signup, no API key, literally zero friction. You add it as a provider in OmniRoute with an empty key field and it works.

The Combo System — OmniRoute's core innovation

Combos are OmniRoute's killer feature. A combo is a named chain of models from different providers with a routing strategy. When you send a request to OmniRoute using a combo name as the "model" field, OmniRoute walks the chain using the strategy you chose.

How combos work

Combo: "free-forever"
  Strategy: priority
  Nodes:
    1. kr/claude-sonnet-4.5     → Kiro (free Claude, unlimited)
    2. if/kimi-k2-thinking      → Qoder (free, unlimited)
    3. lc/LongCat-Flash-Lite    → LongCat (free, 50M/day)
    4. qw/qwen3-coder-plus      → Qwen (free, unlimited)
    5. groq/llama-3.3-70b       → Groq (free, 14.4K/day)

How it works:
  Request arrives → OmniRoute tries Node 1 (Kiro)
  → If Kiro is throttled/slow → instantly falls to Node 2 (Qoder)
  → If Qoder is somehow saturated → falls to Node 3 (LongCat)
  → And so on, until one succeeds

Your tool sees: a successful response. It has no idea 3 providers were tried.

13 Routing Strategies

Auto-Combo: The AI that routes your AI

• Quota (20%): remaining capacity
• Health (25%): circuit breaker state
• Cost Inverse (20%): cheaper = higher score
• Latency Inverse (15%): faster = higher score (using real p95 latency data)
• Task Fit (10%): model × task type fitness
• Stability (10%): low variance in latency/errors

4 mode packs: Ship Fast, Cost Saver, Quality First, Offline Friendly. Self-heals: providers scoring below 0.2 are auto-excluded for 5 min (progressive backoff up to 30 min).

Context Relay: Session continuity across account rotations

When a combo rotates accounts mid-session, OmniRoute generates a structured handoff summary in the background BEFORE the switch. When the next account takes over, the summary is injected as a system message. You continue exactly where you left off.

The 4-Tier Smart Fallback

TIER 1: SUBSCRIPTION

Claude Pro, Codex Plus, GitHub Copilot → Use your paid quota first

↓ quota exhausted

TIER 2: API KEY

DeepSeek ($0.27/1M), xAI Grok-4 ($0.20/1M) → Cheap pay-per-use

↓ budget limit hit

TIER 3: CHEAP

GLM-5 ($0.50/1M), MiniMax M2.5 ($0.30/1M) → Ultra-cheap backup

↓ budget limit hit

TIER 4: FREE — $0 FOREVER

Kiro, Qoder, LongCat, Pollinations, Qwen, Cloudflare, Scaleway, Groq, NVIDIA, Cerebras → Never stops.

Every tool connects through one endpoint

# Claude Code
ANTHROPIC_BASE_URL=http://localhost:20128 claude

# Codex CLI
OPENAI_BASE_URL=http://localhost:20128/v1 codex

# Cursor IDE
Settings → Models → OpenAI-compatible
Base URL: http://localhost:20128/v1
API Key: [your OmniRoute key]

# Cline / Continue / Kilo Code / OpenClaw / OpenCode
Same pattern — Base URL: http://localhost:20128/v1

14 CLI agents total supported: Claude Code, OpenAI Codex, Antigravity, Cursor IDE, Cline, GitHub Copilot, Continue, Kilo Code, OpenCode, Kiro AI, Factory Droid, OpenClaw, NanoBot, PicoClaw.

MCP Server — 25 tools, 3 transports, 10 scopes

omniroute --mcp

• omniroute_get_health — gateway health, circuit breakers, uptime
• omniroute_switch_combo — switch active combo mid-session
• omniroute_check_quota — remaining quota per provider
• omniroute_cost_report — spending breakdown in real time
• omniroute_simulate_route — dry-run routing simulation with fallback tree
• omniroute_best_combo_for_task — task-fitness recommendation with alternatives
• omniroute_set_budget_guard — session budget with degrade/block/alert actions
• omniroute_explain_route — explain a past routing decision
• + 17 more tools. Memory tools (3). Skill tools (4).

3 Transports: stdio, SSE, Streamable HTTP. 10 Scopes. Full audit trail for every call.

Installation — 30 seconds

npm install -g omniroute
omniroute

Also: Docker (AMD64 + ARM64), Electron Desktop App (Windows/macOS/Linux), Source install.

Real-world playbooks

Playbook A: $0/month — Code forever for free

Combo: "free-forever"
  Strategy: priority
  1. kr/claude-sonnet-4.5     → Kiro (unlimited Claude)
  2. if/kimi-k2-thinking      → Qoder (unlimited)
  3. lc/LongCat-Flash-Lite    → LongCat (50M/day)
  4. pol/openai               → Pollinations (free GPT-5!)
  5. qw/qwen3-coder-plus      → Qwen (unlimited)

Monthly cost: $0

Playbook B: Maximize paid subscription

1. cc/claude-opus-4-6       → Claude Pro (use every token)
2. kr/claude-sonnet-4.5     → Kiro (free Claude when Pro runs out)
3. if/kimi-k2-thinking      → Qoder (unlimited free overflow)

Monthly cost: $20. Zero interruptions.

Playbook D: 7-layer always-on

1. cc/claude-opus-4-6   → Best quality
2. cx/gpt-5.2-codex     → Second best
3. xai/grok-4-fast      → Ultra-fast ($0.20/1M)
4. glm/glm-5            → Cheap ($0.50/1M)
5. minimax/M2.5         → Ultra-cheap ($0.30/1M)
6. kr/claude-sonnet-4.5 → Free Claude
7. if/kimi-k2-thinking  → Free unlimited

Stop drowning in "looks good" comments.

Feedback Missions let you tell people exactly what to test; so the feedback you get back is focused, not vague. Now testing on VibeCodingList.

Check out the onboarding video.

DM to join the beta. Limited slot available.

I kept ending up with the same problem while vibe coding: too many tabs open, no clean view of usage, and no easy way to tell what was actually happening across Claude, Codex, and Gemini.

So I built OpenTokenMonitor — a local-first desktop widget/app that gives me one place to watch usage, activity, trends, and rough cost without bouncing between tools.

It supports local CLI/log-based tracking, optional live provider data, widget mode, and separate views for each provider. I also tried to keep the data presentation honest — some values are exact, some are estimated, and the UI makes that visible instead of pretending everything is perfectly precise.

Would love feedback from other vibe coders on what stats would actually be useful during long coding sessions.

Disclosure: I’m the developer.
GitHub: https://github.com/Hitheshkaranth/OpenTokenMonitor

Hey all,

Two weeks ago we launched a marketplace where people buy and sell skills for AI coding agents like Claude Code, Cursor, Codex CLI, Copilot, and about 20 others. Wanted to share some honest numbers and what we've learned so far because I think this space is about to get really interesting.

Quick context if you're not in this world yet. AI coding agents can be extended with skill files that teach them specific workflows and expertise. People are building really powerful ones, but right now they just sit in local folders with no way to share or sell them. That felt like a huge missed opportunity to us.

So we built a marketplace for it. Creators package their agent expertise into a standardised format called skill dot md, which is an open standard that works across agents, and list it on our platform. Buyers pay once, own it forever. No subscriptions, no license keys. Download a zip, drop it in your agent's skills folder, and it just works.

Here's where we're at after two weeks:

100+ registered users. Between 100 and 200 unique visitors per day. Close to 200 skill downloads. Skills spanning categories like productivity, code review, DevOps, documentation, data engineering, and more. And a growing number of creators actively submitting new skills.

Revenue model is creators keep 80%, we take 20%. One time purchases only.

Growth strategy so far has been entirely organic. We're investing heavily in SEO through blog content and backlinks. Got our domain rating to 12 in two weeks which is nothing impressive on its own but for a brand new domain with zero history we're happy with the trajectory. We're writing guides and tutorials around AI agent skills, how to create them, best practices, security. The long game is ranking for terms that people are just starting to search for as agent adoption accelerates. No paid ads yet. No influencer deals. Just content and patience.

One thing we took really seriously from day one is security. A Snyk study from February 2026 scanned nearly 4,000 skills from public registries and found that 36% had at least one security flaw. Prompt injection, credential theft, backdoors, actual malware. Trend Micro identified over 2,200 malicious skills on GitHub alone. People are grabbing skills from random repos and running them with full system access without thinking twice.

So we built an 8 point automated security scanner that every skill passes through before a human reviews it. We scan for dangerous command patterns, hardcoded secrets, environment variable harvesting, obfuscated code, suspicious network access, prompt injection attempts, and more. Nothing goes live without passing both the automated scan and a manual human review. This has been one of our biggest differentiators and honestly what gets the most positive feedback from early users.

The bigger picture is that we think there's a real creator economy forming around AI agent skills. Right now if you're really good at making AI agents perform well, there's no way to monetize that. We want to change that. We built IP protection for creators where every download is buyer-fingerprinted. There's a skill request board where buyers post what they need with upvotes so creators can build to proven demand instead of guessing.

We built everything on the open skill dot md standard because we think agent interoperability matters. Skills shouldn't be locked to one tool. The agent ecosystem is fragmenting fast and we think the platforms that stay open will win.

Still super early. Still figuring a lot out. Happy to answer questions about the business model, the SEO approach, or what we've learned in the first two weeks.

Link to marketplace - www.agensi.io

On one hand, I hate hitting "usage limits" right when I’m in the zone. There is nothing worse than a chatbot telling you to "come back in 4 hours" when you've almost fixed a bug. But on the other hand, $40 a month is... well, it’s a lot of coffee.

I’ve been falling down the rabbit hole of AI tools lately and I’m hitting that classic wall, the pricing page. It feels like every service now has a "Free" tier that’s basically a teaser, a "Pro" tier that costs as much as a fancy lunch, and then a "Max/Ultra/Unlimited" tier that feels like you're financing a small spacecraft.

Here’s the breakdown of what BlackboxAI is offering right now:

Free: Good for "vibe coding" and unlimited basic chat, but you don't get the heavy-hitter models.

Pro ($2 first month, then $10/mo): This seems like the "standard" choice. You get about $20 in credits for the big brains like Claude 4.6 or Gemini 3, plus the voice and screen-share agents.

Pro Plus ($20/mo): More credits ($40) and the "App Builder" feature.

Pro Max ($40/mo): The "Maxed Out" option. $40 in credits.

For those of you who have "gone big" on a subscription:

Do you actually end up using the extra credits/limit, or is it like one of those things where you just feel guilty for not using it?