New — v0.2.0: all three tools now ship with Claude integration. See what's new
OPEN-SOURCE AI TOOLS · MIT LICENSED

Free AI tools that
cut through the noise.

Three open-source tools, zero dependencies, no accounts. Deal Radar watches deal feeds for the keywords you care about. Free-Model Router puts every free LLM tier behind one CLI. Trending-Repo Scout surfaces the fastest-rising AI repos daily — all MIT-licensed and maintained in public by CuriousScan.

or run your first scan in 60 seconds →

deal-radar — zsh
$ python deal_radar.py --once --keywords free,giveaway
[r/FreeEBOOKS] 48 Hours Left: The New Mom Survival Guide (First 90 Days) [Kindle]
  matched: free
[r/GameDeals] Free weekend: strategy bundle giveaway ends Sunday
  matched: free, giveaway
No matches this pass? Try --watch to keep polling.
$ pip install curiousscan # coming soon
2,600+ community members
1,300+ YouTube subscribers
3 open-source tools
MIT-licensed, zero dependencies
BUILT WITHPython·Frontier LLMs·GitHub·Open Source

Software we ship and maintain.

Every product below is backed by a public repository you can inspect, run, and fork today.

We build in the open.

Not slides — working code. Every tool below is MIT-licensed, tested against live data, and runnable in under a minute.

MIT · PYTHON · V0.2.0

Deal Radar

Keyword watcher for deal communities. Watches deal feeds for the words you care about — free, promo code, giveaway — and prints matches as they appear. One-shot or continuous watch mode. New: --claude turns hits into a Claude-written analyst digest.

git clone https://github.com/curiousscan/deal-radar View on GitHub →
MIT · PYTHON · V0.2.0

Free-Model Router

One key, many free LLM tiers. Send a prompt to free models through a single CLI with automatic fallback when one is busy. Needs one free OpenRouter key — no credit card. New: --claude-benchmark judges every free-tier answer against Claude, side by side.

git clone https://github.com/curiousscan/free-model-router View on GitHub →
MIT · PYTHON · V0.2.0

Trending-Repo Scout

Daily digest of the fastest-rising AI repos on GitHub. Queries the public GitHub API, filters for AI signal, renders Markdown. No API key needed. New: --claude-filter has Claude rate every repo REAL vs HYPE.

git clone https://github.com/curiousscan/trending-repo-scout View on GitHub →

The judgment calls go to Claude. The pipeline stays yours.

Each tool ships a Claude-powered mode for the calls that need taste, not just rules. Optional, key-gated, fail-soft — every tool runs fully without it.

--claude

Deal Radar — Claude (Sonnet) reads your matched deals and writes an analyst digest: what's worth acting on, what's noise, and why.

--claude-benchmark

Free-Model Router — every free-tier answer judged side-by-side against Claude, so you see exactly what "free" costs in quality.

--claude-filter

Trending-Repo Scout — Claude (Haiku) rates every rising repo REAL vs HYPE with reasons, before it reaches your digest.

Bring your own ANTHROPIC_API_KEY · direct API calls, no SDK · standard library only · works fully without a key

Running in under a minute.

No build step. No dependencies. Python 3.8+ and you're in.

STEP 1

Clone

Pick a tool and clone it. All three are public and MIT-licensed.

git clone https://github.com/curiousscan/deal-radar
STEP 2

Run

Everything runs on the standard library — nothing to install.

python deal_radar.py --once --keywords free,giveaway
STEP 3

Automate

Pipe JSON into your stack, or run watch mode on a schedule.

python deal_radar.py --watch --interval 300

Building with advanced language models.

We don't just write about AI; we build with it. Our pipeline uses large language models to synthesize thousands of data points into structured, actionable intelligence.

Automated Synthesis

Using LLMs to parse technical documentation, release notes, and community signals to surface high-value developments.

Workflow Automation

Building internal and external tools that connect AI models to real-world tasks, reducing repetitive research work.

Structured Data Output

Transforming unstructured web data into clean, queryable formats for our users and internal radar systems.

What we are building for.

Our product roadmap is aligned with the fastest-moving sectors in technology.

Autonomous Agents
Software shifting from passive Q&A to active task completion. We build tools to evaluate and utilize these agents.
HIGH PRIORITY
Open-Source Ecosystem
Empowering independent builders with capable, locally-runnable models and transparent APIs.
ACTIVE
AI-Native Workflows
Moving beyond chat interfaces to embed AI directly into creator and developer toolchains.
RISING

Questions, answered.

What is CuriousScan?

CuriousScan is an independent technology intelligence company founded in 2022 in India. We track artificial intelligence, emerging technology, and open-source tools — and we build and maintain the MIT-licensed developer tools our research runs on.

Are your tools really free?

Yes. Deal Radar, Free-Model Router, and Trending-Repo Scout are all MIT-licensed open-source software. They run on Python's standard library with zero dependencies — no accounts, no subscriptions, no upsells.

Do I need an API key to use the tools?

Deal Radar and Trending-Repo Scout need no API key at all. Free-Model Router needs one free OpenRouter API key, which takes two minutes to create and requires no credit card. Each tool also has an optional Claude-powered feature (digest, benchmark, hype-filter) that needs an ANTHROPIC_API_KEY — everything else works without it.

How is this different from just asking ChatGPT?

ChatGPT answers from memory; our tools run deterministic pipelines on live data. Deal Radar polls real feeds on your schedule, Trending-Repo Scout queries the GitHub API daily, and Free-Model Router benchmarks free tiers against Claude itself — all inspectable Python you can read, fork, and run at zero cost, with no per-query meter running.

How can I contact the CuriousScan team?

Email [email protected] or join the community at t.me/curiousscan. We also publish video guides on YouTube at @CuriousScan.

Where is CuriousScan based?

CuriousScan was founded in India in 2022 and operates as an independent, remote-first team serving a global community of developers and creators.

Independent by choice. Built for the long run.

CS

Curious Scan

INDEPENDENT TECHNOLOGY INTELLIGENCE · FOUNDED 2022

Founded in 2022 on Telegram as an independent research initiative, Curious Scan has evolved into a technology intelligence company. We care less about being first to repeat a headline and more about building practical, AI-powered tools that help our users understand what changed, why it matters, and how to use it. Our focus areas include AI, open-source software, creative technology, automation, and useful internet products.

Domain:
Contact: [email protected]

2022

Born on Telegram

CuriousScan started in 2022 as a Telegram channel tracking artificial intelligence and emerging technology — built on the simple idea that builders deserve signal, not hype.

2024

Expanded to YouTube

Launched the YouTube channel with step-by-step workflow breakdowns and honest tool reviews. The community grew to 2,600+ members on Telegram and 1,300+ subscribers on YouTube.

2025

A home on the web

Launched curiousscan.in — a permanent home for our research, tools, and guides beyond the feeds.

2026

Shipped open source

Started publishing the MIT-licensed developer tools our research runs on: Deal Radar, Free-Model Router, and Trending-Repo Scout — free, zero-dependency, and maintained in public.

Rigorous, lightweight, and repeatable.

01

Discover

Automated and manual tracking of model releases, launches, and open-source projects.

02

Filter

LLM-assisted separation of practical developments from recycled marketing hype.

03

Verify

Human-in-the-loop checking of availability, access conditions, and pricing details.

04

Test

Hands-on validation of workflows to capture real-world edge cases, friction, and limits.

05

Publish

Structuring the output into actionable guides, API-ready data, or radar entries.

06

Iterate

Using community feedback and usage metrics to refine our AI prompts and product focus.

Builders who scan with us.

Real words from our YouTube subscribers and Telegram community. Unedited, unscripted.

By the numbers — what the community reports
$30–40/mo
saved swapping a paid API for an open-source local model
@code_by_raj
3h → 30m
weekly video-editing time after the automation guide
@video_with_nina
₹8–10k/mo
saved by a 4-person team replacing overlapping SaaS
@ops_lead_priya
1h → 10m
daily tech-news time with the morning briefs
@solo_dev_k
₹15k/yr
saved via a lifetime-deal alert in the channel
@weekend_builds
YouTube
“Finally, a channel that doesn’t just read the tech news headlines. The step-by-step workflow breakdowns actually save me hours of trial and error. The recent guide on open-source alternatives was exactly what my small team needed.”
@DevBuildsDaily
YouTube
“I’ve been following Curious Scan since the early days. The ‘Less noise, more signal’ approach is real. I don’t have time to test 50 new AI tools a week, so I just wait for your radar updates. If you cover it, I know it’s worth my time.”
@SarahCreates
YouTube
“The Labs prototypes you shared last month gave me the exact automation concept I needed to finish my project. Love that you show the friction and limits of the tools, not just the hype. Keep it up.”
@CodeAndCoffee
Telegram
“That intelligence brief this morning was spot on. Caught the API pricing change before it hit the major tech blogs. This channel is basically my morning coffee at this point.”
@Alex_Maker
Telegram
“Appreciate the no-fluff updates. The shortlist of free-tier tools for image generation you dropped yesterday already replaced two paid subscriptions for my agency. Massive value.”
@IndieHacker_Jay
Telegram
“Been lurking for a while, but had to say thanks for the recent radar update on autonomous agents. It’s the first time I’ve seen someone explain the shift from ‘answering questions’ to ‘completing work’ in a way that actually makes sense for practical use.”
@TechExplorer_99
Telegram
“Your ‘Discover → Filter → Verify → Test’ flow is exactly how I wish more tech reviewers operated. The fact that you actually test the workflows and share the limits makes this community so much more trustworthy than the usual hype channels.”
@BuildInPublic_Sam

Stop scrolling. Start scanning.

Clone a tool, run it in under a minute, and put our research pipeline to work for you.