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GetAnnotator is the first platform purpose-built to help you hire data annotators every monthโno middlemen, no delays, no guesswork.
We simplify AI development by matching startups, research teams, and enterprises with skilled annotators aligned to your tools, domain, and project goals.
Whether you're training a computer vision model or fine-tuning NLP pipelines, our ready-to-deploy annotation teams scale with your needs and are fast. Backed by Macgence AI, a global leader in AI training data, we bring the experience of 10K+ delivered projects and are trusted by 1,000+ companies worldwide. Our datasets consistently achieve ~95%+ accuracy across modalities.
Faster onboarding. Human-in-the-loop efficiency. Consistent qualityโdelivered.
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GetAnnotator's answer
GetAnnotator stands out because it offers dedicated annotators on a subscription model, eliminating the hassle of hiring, training, and managing annotation teams. Unlike traditional outsourcing, you get a fully managed annotation workflow, including a project coordinator, quality auditing, 24/7 communication, and the ability to scale instantly. Our approach blends the flexibility of an internal team with the efficiency of an external serviceโensuring faster delivery, consistent accuracy, and predictable monthly costs.
GetAnnotator's answer
People choose GetAnnotator because we make data labeling simple, fast, and reliable:
Competitors offer annotation โ we offer end-to-end annotation management.
GetAnnotator's answer
GetAnnotator is built for teams that need high-quality labeled data without operational complexity. Our typical users include:
In shortโanyone who needs reliable, managed, and scalable data annotation.
GetAnnotator's answer
GetAnnotator was created after observing a common challenge across AI teams: While model development has become easier, getting high-quality annotated data is still slow, expensive, and chaotic.
Companies were struggling with:
This led to the idea of a subscription-based dedicated annotator modelโwhere teams can instantly get trained, managed, high-quality annotators without the burden of hiring.
GetAnnotator was built to remove the friction from data labeling and give AI teams a faster path from concept to production.
GetAnnotator's answer
GetAnnotator uses a reliable and modern tech stack designed for speed, security, and scalability. Core technologies include:
This tech foundation ensures a smooth, secure, and high-performance experience for clients.
As a mini-blog, it is a nice alternative for Medium to publish and share information about programming.
However, the community and the organization are biased toward social justice (and they are open to it). You can read its Code of Conduct, it is so vague and politically leads (I prefer a term of service because it defines fair rules for everybody). So it alienates developers that we don't care about politics in pro of people that want to talk about any other topic such as sexuality, how women are unprivileged, and such. It even mandates to use inclusive language. Good grief.
My main complaint is the quality of the community. It is not StackOverflow (so we don't want to ask for an answer here), and most of the top topics are clickbait, such as "how to become a rockstar developer in ... days", "100 tips to become a better programmer" (and it doesn't even talk about programming).
Technically this "mini blog" site allows us to use markdown, and it is okay. However, the whole experience is really basic. Even the template is ugly.
Based on our record, DEV.to seems to be more popular. It has been mentiond 657 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
That is the gap Arcade.dev is purpose-built to close. Unlike a routing gateway that simply proxies requests, Arcade is a full action runtime. It's a secure execution environment for production agents with per-user authorization, vaulted credentials, structured audit logs, and hosted tool execution. It delivers a hosted catalog of over 8,000 pre-built agent-optimized MCP tools, designed for agent intent rather than... - Source: dev.to / 2 days ago
Outside PostHog, the acquisition picture did not match. Real arrivals were mostly organic Google Search. In Search Console, we had not yet hit the first โ30 clicks from Google Search in the past 28 daysโ milestone. We had only just started posting on dev.to, so that channel was not a material source either. - Source: dev.to / 3 days ago
ZeroDrop ships an MCP server that exposes exactly those three tools. Install it into any MCP-capable client:. - Source: dev.to / 3 days ago
In the previous parts of this series, we explored how PureScript acts as a quiet rewrite of the Web, offering a sanctuary of mathematical precision above JavaScript, and how its universal polymorphism allows it to target wildly different runtimes like Node.js, Erlang's BEAM, Chez Scheme, etc. - Source: dev.to / 5 days ago
Def pending(): drafted = open(DRAFTS, encoding="utf-8").read() out = [] for a in api(f"/articles?username={ME}&per_page=100"): if not a["comments_count"]: continue for c in api(f"/comments?a_id={a['id']}"): if c["user"]["username"] == ME or replied_by_me(c): continue if c["id_code"] in drafted: continue ... - Source: dev.to / 7 days ago
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