Anywhere Hired
Find Your Next Remote Job
After being frustrated with job searching, I’ve been developing a small side project.
I built a free remote job board focused on junior roles and visa sponsorship 164 users in week one with zero marketing
I just launched AnywhereHired (anywherehired.com) a free remote job aggregator I built as part of my MSc dissertation on automated web data extraction.
What it does:
- 3,000+ remote jobs aggregated daily via automated Scrapy pipelines
- 1,477 visa-sponsored roles with a dedicated filter
- Dedicated junior & entry-level feed (most job boards bury these)
- AI resume matching upload your PDF, get matched to relevant roles instantly, filter by visa sponsorship
- 100% free, no sign up, no paywalls
The stack:
- Flask + Scrapy + SQLite
- Cron-job powered scraping pipelines
- TF-IDF resume matching
- Deployed on a VPS
Why I built it:
Most job boards either charge job seekers, hide entry-level roles, or make visa-sponsored positions impossible to find. I wanted to fix that — and also needed a real production system to use as empirical data for my dissertation on web scraping in security-constrained environments.
Week one stats (all organic):
- 164 active users
- 1,800+ page views
- 4,700+ events
Would love feedback from this community especially on the resume matching feature and what filters you'd want next.
🌐 anywherehired.com
30 Comments
Very nice..awesome
Thank you
Very Informative
Thank you
The portion about sponsoring a visa is quite helpful. The majority of job boards don't filter that effectively, which quickly gets annoying.
Thank you
Honestly this is a really solid build for week one — especially the traction with zero marketing. That’s not easy.
But I think the real question isn’t the scraping or even the resume matching…
It’s whether this becomes another job aggregator or something people actually rely on.
Right now, most aggregators die because:
data gets outdated fast
too many duplicates / low-intent listings
no real “trust layer” for job seekers
If I upload my resume and get matches, I’d be asking:
Why should I trust these matches over just searching on LinkedIn or Indeed?
I feel like the opportunity here is bigger than aggregation:
Can you rank jobs based on real probability of getting hired?
Can you detect “ghost jobs” or low-response listings?
Can you prioritize companies that actually sponsor consistently vs just tagging “visa”?
If you solve that layer, this becomes insanely valuable.
If not, it risks blending in with every other scraper-based board.
Curious how you’re thinking about that long term.
Thank you for the suggestion. But yeah its only been a week so will try to look into the things you suggested.
I'm curious too, and you're absolutely right, especially given how sensitive the data is. Thanks.
Hey Anwesh, I tried to look for some industry related keywords related to my industry which is marketing, but I couldn't find any result, is it because your site is new or am I doing something wrong? Guide me, I'd love to test and share my honest feedback with you. Thanks!
My website is new. Its been 6 7 days since its launched.
Everything looks great! the dashboard and the interface looks professional and clean. What matters here the most I think is that it has to have a clear form to show if you´re eligible or not for that existing job post.
Thank you for suggestion
This hits close to home. When I was job hunting after engineering in India, visa sponsorship roles felt almost impossible to find — you'd spend hours on job boards only to realise at the application stage they don't sponsor. A dedicated filter for that alone would have saved me so much time.
The junior roles feed is smart too. Most boards are flooded with 3-5 years experience requirements which is demoralising when you're just starting out.
One question — for the AI resume matching, how are you handling roles where the job description is vague or just a generic list of buzzwords? Curious how TF-IDF performs there vs something semantic.
164 users in week one with zero marketing is a solid signal. Good luck with the dissertation too.
Great point — TF-IDF does struggle with vague or buzzword-heavy JDs since it relies on term overlap rather than meaning. "Dynamic team player" and "collaborative engineer" look completely different to it.
It works well when both the CV and JD are specific, but degrades on generic postings. Semantic embeddings (sentence-transformers) are the obvious next step — on the roadmap!
Also a perfect case study for my MSc research on matching accuracy in real-world messy data 😄
Really impressive week one numbers — 164 users with zero marketing is no joke. I just launched Focus Today this week (a brain dump + AI productivity tool) and I'm still at 0 users, so this is both inspiring and humbling. How did you get those first 164? Was it all organic from Indie Hackers or did you post elsewhere too?
In product hunt.
Really impressive build, Anwesh — especially getting 164 users in week one with zero marketing. That’s a strong signal you’re solving a real problem.
I like the focus on junior roles and visa sponsorship — those are usually the hardest to find and often overlooked by bigger platforms. The resume matching feature is also a smart addition, especially if it helps reduce noise for job seekers.
Out of curiosity, how accurate has the matching been so far in real usage? And are you planning to evolve it beyond TF-IDF (maybe embeddings later)?
Great work — this feels like something that could grow quickly with the right distribution.
I will in the future to match the exact jobs ascper customers resume.
Any site that helps people earn a living is commendable, even if not perfect. The question is - how do you make sure job is real, not outdated, providing valid for info to job seeker? Is it like a web-scrapper, technically?
Yes, it's a Scrapy-powered web scraper pulling from established remote job sources on an automated schedule.
Quality is the hardest part honestly I have duplicate detection and timestamps in place, and I'm building auto-expiry logic for outdated listings. Not perfect yet but actively improving.
Funnily enough, this is exactly what my MSc dissertation is about reliable data extraction from dynamic websites. Every bug I fix feeds into my research! 😄
Lucky you. One shot - two birds.
This comment was deleted 5 months ago
HI The site looks very fancy atleast the UI design and colors are not as boring like other jobsites. I made a quick check on "Project Manager" role and see it routes to LinkedIn or other original job sites where it was posted. Like one navigated to LinkedIn and another to RemoteJobs. However your website says 100% but there are many jobs that are Hybrid/onsite. If you are building this site for 100% remote then you need to prompt it to find 100% remote jobs. Are you usinf AI/ Which model is this build on?
Hi Paramita,
Basically, I tried to build a fully remote jobs platform for early stages, but I pivoted to adding sponsor jobs as well, so it might be showing other jobs. I haven't used AI on this website; it runs on a Python script that scrapes data from other websites.
Good Work without marketing you got traffic. Not an easy job!
I'd suggest you take a look at this website https://visasponsor.jobs/api/jobs?country=United-States for visa sponsorship jobs. Remote jobs, unless they are very high-level, do not usually offer sponsorship. There are around 20 main websites dedicated to remote jobs. It would be awesome if you could scrape them all and post all the jobs in one resource.
Actually I did scraped that site to post in the website you can check it out.
This comment was deleted 5 months ago
From remote jobs website.