Colbot
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Colbot is a general-purpose, AI-powered data extraction tool that turns unstructured documents into clean spreadsheet rows. Connect a Google Sheet and drop in PDFs, Word documents, Excel files, images or CSVs.
Colbot reads them, reasons over the content to derive the fields your sheet needs, and appends new rows automatically. It goes beyond plain format conversion: the AI infers values that aren't explicitly stated in the source.
Let rows write directly to your sheet, or turn on an optional review flow to approve extractions first, with every step auditable.
Colbot also supports team roles and permissions, and can be triggered via the web app or a Chrome browser extension (Colbot Web Clipper).
Where it fits best Market and competitive research. Pull names, prices, features, and contacts from rivals' pricing pages, supplier directories, and industry listings into one comparison table — a dozen competitors across dozens of pages, condensed in minutes.
Company info and contacts. Open company sites, yellow pages, and directory listings one by one; Colbot recognizes the page structure and extracts company name, description, address, phone, and email as rows — no more hand-copying to build a customer or supplier list.
Sales lead collection. Batch-capture companies and contacts from directories, event speaker pages, and member rosters straight into a lead list you can follow up on.
Product research and price comparison. Browse e-commerce listings and pull price, rating, sales, and stock into a table for side-by-side comparison — sourcing and price monitoring at a glance.
Research and content aggregation. Aggregate news lists, forum threads, rankings, and search results into a filterable, sortable table to feed your later analysis and reporting.
Whether the data is hundreds of rows in a list or single items spread across individual pages, Colbot recognizes and parses it — saving you the word-by-word copy-paste.
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Colbot's answer
Colbot isn't just an OCR tool or a file converter — it reasons over the content with AI to derive fields that aren't spelled out in the source, then fits them to your existing spreadsheet.
Colbot's answer
Colbot's answer
Colbot is for anyone who repeatedly types data into a spreadsheet by hand and wants that to stop.
It fits individuals and small-to-midsize teams best — pay-as-you-go pricing lets you start without an enterprise commitment, while roles and permissions scale as the team grows.
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 675 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 also why places like dev.to matter. I feel that an open publishing commons for developers only stays meaningful in the long run if we can also choose how our software reaches users. My recipe right now: Play when it fits, F-Droid, IzzyOnDroid, and Obtainium when features and honesty demand it, and direct distribution when we must. Agentic tooling only raises the stakes: when software can request contacts,... - Source: dev.to / about 13 hours ago
On DEV (powered by the open-source Forem codebase), we have a hybrid architecture that blends Rails server rendering, Fastly edge caching, and lightweight client-side navigation (via InstantClick). This setup delivers sub-100ms page transitions, but partial page swaps combined with aggressive edge caching create delicate deployment challenges. - Source: dev.to / 5 days ago
Parts 4 and 5 showed the flagship's auth and its live grid. This one is about reuse: the app is built almost entirely from packaged components, and this is how you'd build yours. - Source: dev.to / 8 days ago
Per-syscall interception is the layer that closes this gap. Grith sits between the agent process and the kernel, scoring every operation before it executes - not what the agent claims to be doing, but what it actually does. The process census, the credential file opens, the MCP initialisation, the network connections: all of it is visible, all of it is scored, and any of it can be blocked by policy without... - Source: dev.to / 8 days ago
Plinkie is built by Business Data Solutions, a Dutch consulting and training firm that helps organisations put their data to work. This system was built by one person in ten days, runs in two fully separate Google Cloud projects, and costs under $2 per night to operate. The infrastructure is OpenTofu, the services are Python 3.13, and the site is Next.js. - Source: dev.to / 9 days ago
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