[KongchangAI]
Company

Nearbia

A technology team focused on the collection and classification of local business website data, using browser rendering and local LLM pipelines to handle website determination tasks.

Timeline (last 90 days)

Oct 13

The Nearbia team used a single HTTP request to check 200 local business websites, and the result missed more than 30% dead sites and a large number of marketing sites.

Unverified50%
Oct 13

The initial HTTP request checker sent one request to each homepage, captured the first 400KB of raw HTML, and searched for city names and plumbing-related words.

Unverified50%
Oct 13

When the check was launched from a computer in the Netherlands, 47 of the 200 sites did not respond; but when retried from a U.S. IP, 15 of those 47 loaded successfully immediately.

Unverified50%
Oct 13

Any pipeline that takes "whether a site is alive" as an input must fix the probing node in the target market's location, otherwise normally accessible local businesses will be misjudged as dead sites.

Unverified50%
Oct 13

The new pipeline has four steps: rendering, labeling, verification, and localization; rendering uses regular Chrome with JavaScript enabled, with 5 browsers in parallel, and the 171 responsive homepages took about 40 minutes.

Unverified50%
Oct 13

In the labeling step, a language model deployed on Nearbia's own servers reads each captured page and assigns a site type: local company's own site, chain branch page, national chain, directory site, lead-generation site, irrelevant site, or dead site.

Unverified50%
Oct 13

The verification step requires the model to cite the original page text to support the label, the code confirms that the citation actually appears in the page, and labels with confidence below 0.6 are forwarded for manual review.

Unverified50%
Oct 13

Location evidence priority from high to low: 1. the site's phone matches the phone in the source record; 2. the area postal code in the address or structured data; 3. a city name adjacent to "FL" or "Florida"; weak evidence is an area name alone or only the 727 area code.

Unverified50%
Oct 13

Phone is regarded as the strongest signal, because lead-generation sites and directory sites usually list only a national customer service or 8xx number, and 8xx is explicitly excluded because chains share it across locations.

Unverified50%
Oct 13

In the final classification of the 200 domains, 88 local plumbers with location evidence form the corpus, and 36 are dead sites/parked/no DNS resolution.

Unverified50%

3 more timeline events

All Facts (13)

Unverified

The Nearbia team used a single HTTP request to check 200 local business websites, and the result missed more than 30% dead sites and a large number of marketing sites.

50%
Unverified

The initial HTTP request checker sent one request to each homepage, captured the first 400KB of raw HTML, and searched for city names and plumbing-related words.

50%
Unverified

When the check was launched from a computer in the Netherlands, 47 of the 200 sites did not respond; but when retried from a U.S. IP, 15 of those 47 loaded successfully immediately.

50%
Unverified

Any pipeline that takes "whether a site is alive" as an input must fix the probing node in the target market's location, otherwise normally accessible local businesses will be misjudged as dead sites.

50%
Unverified

The new pipeline has four steps: rendering, labeling, verification, and localization; rendering uses regular Chrome with JavaScript enabled, with 5 browsers in parallel, and the 171 responsive homepages took about 40 minutes.

50%
Unverified

In the labeling step, a language model deployed on Nearbia's own servers reads each captured page and assigns a site type: local company's own site, chain branch page, national chain, directory site, lead-generation site, irrelevant site, or dead site.

50%
Unverified

The verification step requires the model to cite the original page text to support the label, the code confirms that the citation actually appears in the page, and labels with confidence below 0.6 are forwarded for manual review.

50%
Unverified

Location evidence priority from high to low: 1. the site's phone matches the phone in the source record; 2. the area postal code in the address or structured data; 3. a city name adjacent to "FL" or "Florida"; weak evidence is an area name alone or only the 727 area code.

50%
Unverified

Phone is regarded as the strongest signal, because lead-generation sites and directory sites usually list only a national customer service or 8xx number, and 8xx is explicitly excluded because chains share it across locations.

50%
Unverified

In the final classification of the 200 domains, 88 local plumbers with location evidence form the corpus, and 36 are dead sites/parked/no DNS resolution.

50%
Unverified

Five domains associated with St. Petersburg actually belong to plumbers in Colorado, Idaho, Mississippi, Broward County and Orange City, Florida.

50%
Unverified

Of the 45 in-city plumbers in the corpus, 21 were not included in the initial database, and Google alone found 11 of them.

50%
Unverified

The model once labeled a sewer pipe lining company as window cleaning, indicating that the "other industries" group must be manually reviewed.

50%

Source Articles