Software Engineer, Agents
Design and build agentic systems for AI-native video creation, integrating LLMs and evaluation frameworks to power creative workflows. Requires 5+ years building ML/agentic systems in production.
Signal over LinkedIn noise.
Handpicked tech jobs, no Easy Apply flood, no Open to Work badge.
Not a LinkedIn replacement
LinkedIn is the default. Hotfix replaces one slice of it.
LinkedIn Jobs is going to keep being the default for most candidates and most industries, and that is the right outcome. The scale is real, 22 million live postings across every industry, 310 million monthly users, a network graph you built over years that you cannot replicate anywhere else. We are not arguing against any of that.
We are arguing for a different shape of search for the part of your hunt that is specifically tech and startup, where LinkedIn's volume mechanic actively works against you. The easy-apply flood buries qualified candidates under quick-click applications. The algorithm trains on engagement, not fit. The intent signal you can give the platform is a public badge that recruiters openly say looks desperate. Hotfix is built for that slice of the search, not the whole search.
Why people leave the tech side of LinkedIn
What candidates keep saying about the jobs experience
The most concrete complaint is the application volume per role. A hot tech listing on LinkedIn picks up a hundred easy-apply submissions in the first day and often four-figure totals by the end of the week. When applying takes two clicks instead of thirty minutes, everyone applies, and qualified candidates get buried under a mountain of quick-click submissions from people who are not actually qualified. That is the signal-to-noise tax. Hotfix's handpicked tech and startup set produces a different ratio because the catalog is intentionally smaller and the apply path goes directly to the company's careers page, not into a shared queue.
The second complaint is ghost jobs. Independent analysis estimates that roughly 27% of US LinkedIn listings are likely ghost jobs, with a separate HR survey finding 45% of HR professionals admit they regularly post listings they don't intend to fill, plus another 48% who do it occasionally. LinkedIn's ranking model rewards recency-of-repost, which gives companies an incentive to keep stale listings warm. Hotfix pulls listings the day the company closes the role in their ATS, so there is no recency game to play.
The third complaint is what happens between you and a listing. LinkedIn's feed algorithm optimizes for dwell time, not job fit. Engagement-bait posts (polls, agree-or-disagree takes, humblebrags) train the algorithm and crowd the surface around your search. Hotfix is jobs-only, no feed.
The fourth complaint is the intent signal. LinkedIn's main way to tell the platform you are looking is the public Open to Work badge. Recruiters openly say it can read as desperate, and the company's own data says badge users receive more recruiter inbound. Both can be true. The deeper issue is that you should not have to choose between public visibility and private intent. Hotfix lets you set preferences and add jobs to a watchlist privately, and the alerts fire from those signals without telling anyone you are looking.
Stacked together, these are not arguments that LinkedIn is broken. They are arguments that LinkedIn is the wrong shape of tool for the tech and startup slice of your search.
Side by side
Hotfix vs LinkedIn Jobs, at a glance
| Dimension | LinkedIn Jobs | Hotfix |
|---|---|---|
| Catalog scope | 22M+ live postings across every industry | Handpicked tech and startup roles only |
| Applications per role | Often 100 to 1,000+ within 24 hours | Smaller set, direct apply per role |
| Application mechanic | Easy Apply blast into a shared queue | Apply directly on the company's careers page |
| Intent signaling | Public Open to Work badge | Private preferences and watchlist |
| Recruiter outreach | InMail volume unmatched | No InMail; alerts come from your saved preferences |
| Network graph | Your existing professional graph | No social graph, no warm intros |
| Feed pollution | Engagement-bait, polls, humblebrags adjacent to search | Jobs-only, no feed |
| Listing freshness | Recency-of-repost incentive keeps stale jobs warm | Pulled the day the company closes the role |
| Price for candidates | Free (Premium upsell) | Free |
The trade we made
Signal at the scale of one slice of your search
LinkedIn optimizes for breadth and network. It carries everything, and the network graph that lives there is years of relationship value you cannot replicate elsewhere. Hotfix optimizes for signal inside one specific slice: tech and startup. The catalog is intentionally smaller, the apply path skips the shared queue, and the alerts fire from preferences you set privately.
The wrong question is which one is better. The right question is which one fits which part of your search. For passive candidates who want recruiter inbound, candidates outside of tech, or anyone leveraging their existing network for warm intros, LinkedIn is the right tool and we are not the right tool. For active candidates doing focused tech and startup search who are tired of being one of a thousand easy-apply applicants on the same role, Hotfix is the right shape.
The page you are on is the comparison. The actual product is below: live tech and startup roles right now, no signup required to browse.
Honest assessment
Where LinkedIn Jobs is still the better pick
- Volume and industry coverage. 22 million live postings across every industry, location, and seniority level. If you are searching outside of tech and startups, LinkedIn has it and Hotfix does not.
- Your network graph. Mutual connections, alumni, ex-coworkers, warm intros. That graph took years to build and lives on LinkedIn. We do not have a social layer and we are not trying to build one.
- Recruiter inbound at scale. If you are a passive candidate who wants inbound, LinkedIn's InMail volume is genuinely unmatched. Hotfix does not surface a recruiter inbox by design.
- Credential check. Recruiters and hiring managers verify candidates against LinkedIn profiles. Hotfix is not your professional identity layer and never will be.
Pick the right tool
Who each one is for
Choose Hotfix if
Active candidates doing focused tech or startup job search who are tired of being one of a thousand easy-apply applicants on the same role. People who want a smaller set of listings to read carefully, a private way to signal intent, and alerts that fire the moment a fitting role posts.
Stick with LinkedIn Jobs if
Candidates in industries outside of tech and startups, passive candidates who want recruiter inbound, anyone whose primary advantage is the network graph they have already built on LinkedIn, and most people most of the time for the rest of their job-search needs.
Proof, not pitch
Live on Hotfix right now
A sample of roles posted recently. Browse the full set without an account.
Senior Platform Engineer, Security
Build and secure Doxel's internal developer platform on GCP. Own cloud security posture, embed security into CI/CD pipelines, and drive adoption of secure golden paths across engineering teams.
Engineering Manager - Core Infra
Own Core Infra team end-to-end: set priorities, raise execution quality, and turn ICs into a self-organizing team. Requires 8+ years building production software (4+ in startups) managing platform engineers, plus deep familiarity with high-throughput and AI-powered systems.
Member of Technical Staff
Conduct original research on AI system security and privacy, develop defenses and evaluation frameworks, and translate findings into production improvements at Perplexity. Requires PhD or equivalent with publications at top security venues and deep expertise in security domains.
Senior Software Engineer, R&D
Senior engineer on the R&D team building production infrastructure for LLM agents, browser agents, and self-improving harnesses. Owns the full lifecycle from research through customer delivery.
Sr. Software Engineer, Estimate
Full-stack engineer building Estimate, a product that converts generative building designs into instant material takeoffs. Owns projects end-to-end across frontend, backend, and geometry layers.
Research Scientist II
Research Scientist II building and improving fraud risk models and scam detection systems using audio, behavioral, and metadata signals. Requires an advanced degree and 3+ years of applied ML experience with Python and modern ML frameworks.
Staff Data Engineer
Founding Data Engineer to architect Payabli's data platform from scratch: design lakehouse/warehouse, build pipelines, model financial data, and establish governance for a regulated fintech environment.
See what a handpicked feed looks like
Browse Hotfix without an account. Set your preferences once and get alerts the day a fitting role posts.