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RadarJobs

Contract tech jobs across the market, without the noise

Hiring
Data
Career
Visit WebsiteSee on Product Hunt

Hunted byCarl SCarl S

RadarJobs turns the fragmented contract-tech job market into one clean search. It pulls live opportunities from LinkedIn, Indeed, Dice, Upwork and other sources; normalizes pay, contract type, remote status, freshness and source details; removes duplicates; and ranks matches from your resume and preferences. No ads or sponsored listings. The same normalized data is also available through the Radar API.

Top comment

Searching for contract tech work kind of sucks right now.

Finding 1099, C2C, freelance, or contract roles means digging through duplicates, expired listings, unclear contract types, missing pay, and jobs that explicitly say things like “no C2C” or “no 1099.”

That’s the problem I built RadarJobs to solve.

  • RadarJobs pulls current opportunities from LinkedIn, Indeed, Dice, Upwork, and other sources, then cleans and normalizes the market, removes duplicates, checks freshness and liveness, and structures things like contract type, pay, remote status, role, seniority, source, and where to apply.

  • You can upload your resume and RadarJobs creates a structured professional profile based on your actual experience, skills, seniority, and professional focus.

  • Combine that with your preferences (contract type, remote/location, compensation, etc.) and RadarJobs ranks the normalized market around you, instead of just handing you another keyword search box.

  • I also expose the same normalized opportunity data through the Radar API for developers building job-search products, niche job boards, recruiting tools, internal workflows, agents, or anything else that needs cleaner contract-tech opportunity data.

So instead of:

search →
open 40 tabs →
figure out which jobs are relevant →
figure out whether they’re still live →
figure out whether they actually allow your contract type

With RadarJobs, that becomes:

upload resume →
set preferences →
get a ranked set of live opportunities that actually fit your background and constraints.

and you can still ignore AI features entirely and search/filter the broader market yourself if you want.

No ads. No sponsored listings. No pay-to-rank bullshit.

I built this because I wanted it for my own search first. Now I’m putting it out there for anyone else who is tired of searching the same fragmented market across a dozen different places.

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About RadarJobs on Product Hunt

Contract tech jobs across the market, without the noise

RadarJobs was submitted on Product Hunt and earned 2 upvotes and 1 comments, placing #145 on the daily leaderboard. RadarJobs turns the fragmented contract-tech job market into one clean search. It pulls live opportunities from LinkedIn, Indeed, Dice, Upwork and other sources; normalizes pay, contract type, remote status, freshness and source details; removes duplicates; and ranks matches from your resume and preferences. No ads or sponsored listings. The same normalized data is also available through the Radar API.

RadarJobs was featured in Hiring (15.4k followers), Data (2.4k followers) and Career (2.2k followers) on Product Hunt. Together, these topics include over 18.1k products, making this a competitive space to launch in.

Who hunted RadarJobs?

RadarJobs was hunted by Carl S. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.

Want to see how RadarJobs stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.