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Gradia is an online marketplace for executive education. Professionals who want to grow their skills in areas like leadership, finance, AI, data, or general management usually start by searching through dozens of business school websites. Each one describes its programs differently, and none of them can be compared side by side. Gradia brings these programs together in one place. People can search by topic, format, length, and budget, see their options clearly, and base the decision on what actually fits them rather than on whoever ranks highest in a search result.
The platform launched in early 2026 with an initial focus on the DACH region, working directly with business schools to list their programs.
Gradia is also an example of a new way of building a company. It was created by a solo founder with no traditional engineering background, using AI development tools to design, build, and run the whole platform. That keeps the company lean and quick to iterate, and it reflects the same change in how people learn and work that Gradia helps its users navigate.
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GoGradia's answer
Gradia is built specifically for executive education, not general online courses. It gathers programs from business schools into one place and lets you compare them side by side by topic, format, length, and budget, which the schools' own websites are not set up to do.
GoGradia's answer
The idea came from a recurring frustration. Researching any executive program meant opening a dozen business school sites, each describing its courses differently, with no way to compare them on price, format, or topic. The information was scattered by design. Gradia was built to fix that with a single place to compare programs across schools. It was created by a solo founder using AI development tools, which keeps it lean and quick to adapt to what schools and learners need.
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no customer so far
GoGradia's answer
Working professionals and managers looking for executive or professional development in areas like leadership, finance, AI, data, and general management. Many are mid-career or senior, often researching a program for themselves, sometimes with their employer funding it. Initial focus is the DACH region.
GoGradia's answer
Most options are either a single school's website, which only shows its own programs, or a general course aggregator that treats executive education like consumer e-learning. Gradia is neutral and buyer-first. It compares programs across schools on the things that actually matter for a senior career decision, so you can choose based on fit rather than on whoever ranks highest in search.
GoGradia's answer
Next.js, Supabase, and Vercel, with AI development tools used throughout the build process. The platform was designed and built end to end by a solo founder without a traditional engineering background.
GitHub is an essential platform for modern software development. It makes it easy to host, manage, and collaborate on code while providing powerful tools for version control, project management, and team collaboration. Its large open-source community is another major strength, offering developers access to countless projects, resources, and opportunities to learn. Overall, GitHub is a reliable and professional platform that has become a fundamental part of the developer ecosystem.
Based on our record, GitHub seems to be more popular. It has been mentiond 2476 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.
"""Clones a single branch of a GitHub repository into a temporary directory for local scanning.""" Import logging Import shutil Import subprocess Import tempfile Logger = logging.getLogger(__name__) Class RepoFetchError(RuntimeError): """Raised when the target repository/branch cannot be cloned.""" Class RepoFetcher: """Shallow-clones a single branch of a repository so its tests can be scanned... - Source: dev.to / 7 days ago
# video-meta.yml Topic: > Walking through how we cut cold-start time on a Lambda-backed GraphQL API from 2.4s to under 400ms, including the two things that didn't work. Target_keyword: lambda cold start optimization Audience: backend devs who already ship serverless, not beginners Model_channels: - the three channels currently ranking for this keyword Links: repo: https://github.com/... slides:... - Source: dev.to / 8 days ago
Import struct, json, urllib.request REL = "https://github.com/{owner}/{repo}/releases/download/{tag}/" PART = ["...part1.zip.001", "...part2.zip.002", "...part3.zip.003"] SIZE = [1992294400, 1992294400, 1893639808] # from the releases API Def grab(part, start, end, out): # HTTP range fetch req = urllib.request.Request(REL + PART[part], Headers={"Range":... - Source: dev.to / 13 days ago
Is published at https://github.com/.keys so an SSH server to which you connect could do a reverse lookup. This is the reason why my ~/.ssh/config has those 2 lines at the end:- Source: Hacker News / 20 days agoHost *.
All of this assumes you can actually inspect what the agent did โ the real inputs after resolution, the real tool outputs, the real intermediate steps. That is the other half of the workflow. AgentLens captures the trace: every model and tool step, resolved inputs, raw outputs. agent-eval scores and gates the output; AgentLens gives you the unforgeable, agent-didn't-author trace data for Tier 1+2 to score against... - Source: dev.to / 21 days ago
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