ShipMore.io
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ShipMore is self-hosted infrastructure for turning structured data into a sellable, searchable, agent-maintained product โ in one conversation. Bring a clean CSV or JSON file, and ShipMore infers and confirms a schema, then lets you present the same data as a directory, database, API, or feed. Monetization is pre-wired with Stripe (featured listings, subscriptions, credits, and one-off purchases), and semantic search ships out of the box.
The core loop is Ingest โ Present โ Earn โ Monitor โ Operate. A built-in monitor layer surfaces Google Search Console signals, internal search logs, click tracking, and conversion events as actionable insights. An operate layer (CLI-first, with an MCP adapter) lets your own coding agent propose new listings and SEO content, manage data freshness, and keep listings from going stale โ no bundled AI tax and no BYOK setup required.
Built on Payload CMS, Orama search, Next.js, and MongoDB, ShipMore is multi-tenant by design: one server, one Stripe account, one database, and near-zero marginal cost to launch each additional niche. That makes it ideal for data arbitrageurs monetizing a dataset and for portfolio operators running many small bets at once. Everything โ your data, infrastructure, and the agent playbook โ stays yours, on a box you control.
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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 / 6 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 / 7 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 / 11 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 / 19 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 / 19 days ago
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