GitHub
GitLab
BitBucket
VS Code
Git
Treehouse
Pantheon
CodePen
Thayne.app
Athena AI
Zalena
Thayne allows independent professionals to create links that has the first conversation with every prospect before they get involved. You create and design it - write your opening message word for word, set the exact questions you want asked, describe what a good fit looks like for your specific practice. Share the link anywhere people reach out. Every prospect who clicks it has a real, adaptive AI conversation in your voice. The AI asks your questions, follows up when an answer is vague, and closes out people who are not a fit before they reach your calendar. When the conversation ends you get a brief - who they are, how well they fit, the one thing worth knowing before you follow up, and a suggested opening line for your response. You read it in twenty seconds and know exactly what to do. Free plan covers 50 conversations a month. Pro is ยฃ29 a month.
GitHub Thayne.appNo Thayne.app videos yet. You could help us improve this page by suggesting one.
Thayne.app's answer:
Most intake tools are forms. Thayne is a real conversation. It adapts to what someone says, follows up when an answer is vague, and produces a brief at the end rather than a spreadsheet of raw responses. The entire conversation is configured by the professional - their opening message, their questions, their voice, their definition of a good fit. It sounds like them at their best, not a generic chatbot.
Thayne.app's answer:
Thayne is the only intake tool built specifically for independent professionals who take inbound enquiries. It does not just collect information - it assesses fit, handles bad fits before they reach your calendar, and tells you exactly what to do with every prospect in a brief you can read in twenty seconds. Setup takes ten minutes and requires no technical knowledge.
Thayne.app's answer:
Independent coaches, consultants, recruiters, and estate agents - professionals who take inbound enquiries and whose time is directly tied to their income. Specifically people who are spending hours every week on discovery calls that go nowhere because qualification happens on the call instead of before it.
Thayne.app's answer:
Thayne was built after speaking to dozens of independent professionals who all described the same problem - they were giving away their best time and thinking to people who were never going to convert. The discovery call was the problem. Not the call itself, but the fact that by the time you know someone is not right for you, you have already spent the time. Thayne was built to move that qualification earlier, before anyone gets on a call.
Thayne.app's answer:
Cloudflare Workers, Airtable, Webflow, Memberstack, Resend, Twilio, and the Anthropic API for the AI conversation layer.
Thayne.app's answer:
Thayne is early stage and currently working with its first clients as part of a founding partner programme for independent professionals.
Based on our record, GitHub seems to be more popular. It has been mentiond 2474 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.
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 / 2 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 / 10 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 / 11 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
GitLab - Create, review and deploy code together with GitLab open source git repo management software | GitLab
Athena AI - Discover Conversational AI with Athena's all in one messenger. Connect all messengers to a single dashboard and train your AI chatbot to respond and close leads 24/7! Get your free trial now!
BitBucket - Bitbucket is a free code hosting site for Mercurial and Git. Manage your development with a hosted wiki, issue tracker and source code.
Zalena - AI voice and chat agent for small businesses โ answers calls, replies to messages, and books appointments 24/7.
VS Code - Build and debug modern web and cloud applications, by Microsoft
Git - Git is a free and open source version control system designed to handle everything from small to very large projects with speed and efficiency. It is easy to learn and lightweight with lighting fast performance that outclasses competitors.