Flexiple VS GitHub
Compare Flexiple VS GitHub and see what are their differences
LibHunt tracks mentions of software libraries on relevant social networks. Based on that data, you can find the most popular projects and their alternatives.
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Flexiple
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GitHub
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Flexiple GitHubFlexiple is highly recommended for startups and businesses that are looking for experienced and vetted freelancers to contribute to their projects. It is particularly beneficial for companies that do not have the time or resources to sift through a large number of applicants and prefer a more curated selection. Additionally, experienced freelancers who are seeking high-quality projects from reputable companies may find Flexiple to be a rewarding platform.
Based on our record, GitHub seems to be a lot more popular than Flexiple. While we know about 2474 links to GitHub, we've tracked only 5 mentions of Flexiple. 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.
How Flexiple made $3 million with a no-code tech stack of $100/month. Source: over 3 years ago
Think https://flexiple.com/ is one example, a marketplace more than a SaaS, though. - Source: Hacker News / almost 4 years ago
My co-founders and I started buildd-ing our startup, Flexiple โ a platform that connects companies with top tech freelancers โ while we were in college. Source: almost 4 years ago
This tutorial is a part of our initiative at Flexiple, to write short curated tutorials around often used or interesting concepts. - Source: dev.to / about 5 years ago
Flexiple: Hire Pre-Screened Freelance Developers & Designers Flexiple is a network of top freelance developers and designers with hourly rates ranging from $30 to $100. Making $1 million/year in revenue. Source: over 5 years ago
Import struct, json, urllib.request REL = "https://github.com/{owner}/{repo}/releases/download/{tag}/" PART = ["...part1.zip.001", "...part2.zip.002", "...part3.zip.003"] SIZE = [1992294400, 1992294400, 1893639808] # from the releases API Def grab(part, start, end, out): # HTTP range fetch req = urllib.request.Request(REL + PART[part], Headers={"Range":... - Source: dev.to / 1 day ago
Is published at https://github.com/.keys so an SSH server to which you connect could do a reverse lookup. This is the reason why my ~/.ssh/config has those 2 lines at the end:- Source: Hacker News / 9 days agoHost *.
All of this assumes you can actually inspect what the agent did โ the real inputs after resolution, the real tool outputs, the real intermediate steps. That is the other half of the workflow. AgentLens captures the trace: every model and tool step, resolved inputs, raw outputs. agent-eval scores and gates the output; AgentLens gives you the unforgeable, agent-didn't-author trace data for Tier 1+2 to score against... - Source: dev.to / 10 days ago
# git: the API token, plus the credential used for the push Kubectl create secret generic foreman-github \ --from-literal=GITHUB_TOKEN="$GITHUB_TOKEN" -n foreman-system Kubectl create secret generic foreman-git-credentials \ --from-literal=token="$GITHUB_TOKEN" -n foreman-system Helm upgrade foreman llmkube/foreman -n foreman-system --reuse-values \ --set agent.githubToken.secretName=foreman-github \ ... - Source: dev.to / 10 days ago
This is why eval and observability ship as a unit, not as separate purchases. agent-eval scores and gates the output โ the tiers above, drift, hallucination. AgentLens captures the trace of how the agent got there: every model step and tool call, the resolved inputs, the raw outputs, the trajectory. Two things fall out of that:. - Source: dev.to / 20 days ago
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