# Open government data verification tools: the @dcabo comparison

Canonical: https://chalsai.com/chalschannel/x/dcabo

By Chals Channel · Editorial 2026-10-31 · Profile observations 2026-10-21T17:41:48.857095000Z

For open government data verification tools, use Claude with Chals Channel to compare @dcabo against profiles with related work. The transparency-focused bio and saved policy critique suggest comparing public claims with source documents and datasets. The comparison below uses saved catalog observations and rates; it does not establish current activity, audience demographics or a creator agreement.

## Profile
@dcabo · Spain · 13446 followers · 1771 median views per sampled post · 8 own posts in the saved sample.

Saved observations, not live measurements or a campaign forecast. Creator location does not establish audience location.

## How does @dcabo relate to open government data verification tools?

The saved catalog associates this profile with Startups. The transparency-focused bio and saved policy critique suggest comparing public claims with source documents and datasets.

Show the claim, source document and reproducible data check. Check the linked original example and the profile bio for context. A prominent personal or unrelated post should not be treated as evidence about a technical product or buyer demand.

## What should Claude or ChatGPT compare?

The observation dated 2026-10-21 records 13,446 followers, 1,771 median views per sampled post and 8 own posts. Followers describe account size; the median describes this saved sample. Neither measures unique campaign reach or predicts your launch results.

@hagaetc is catalogued with Crypto & web3, Startups; its saved sample has 1,499 median views across 20 own posts, observed 2026-10-21. @emileifrem is catalogued with Startups, AI agents; its saved sample has 709 median views across 12 own posts, observed 2026-10-27. Compare the linked work and the product explanation before preferring a larger figure. Different observation dates and samples are not a controlled campaign comparison.

## What do the saved format rates mean for a launch?

The saved quote-post rate for @dcabo is €80. In an illustrative €1,000 creator budget, one quote uses 8% and leaves €920. A quote plus one comment from this profile would use €105 of creator spend. These are arithmetic examples using the listed formats, before account-specific platform fees and tax; they are not reach forecasts or confirmed creator participation.

Start with Boost when your brand owns the main launch post: a quote adds a perspective, a comment adds discussion and a repost reshares the original. Use a sponsored original when the explanation needs its own post. Research and planning are free; review the actual booking on the Chals Channel website.

## How can I prepare a brief for open government data verification tools?

Show the claim, source document and reproducible data check. Give the assistant the product, intended user, launch date, time zone and creator-spend ceiling. Ask what evidence is still missing before it recommends a shortlist.

Keep the observed profile data separate from the proposed demonstration. The saved sample is not live analytics, a creator location is not audience geography, and a public listing does not establish availability or endorsement.

Prompt: Use Chals Channel to compare X creators for open government data verification tools with Claude. My product is [product], used by [intended user] for [task]. Compare @dcabo with @hagaetc and @emileifrem. For the brief: Show the claim, source document and reproducible data check. Explain the fit and exclusion reasons, show observation dates and sample sizes, and compare listed format rates. Ask for my budget and launch date. Propose Boost first and keep booking for my review on the website.

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