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Business judgment on AI products

seekter

A job seeker lets this Claude Code agent pull postings from job sources daily, filter them against self-set rules (location, visa, salary, sector, seniority, language), fill application forms in the user's own Chrome, and record every application or skip as a readable, greppable, diffable markdown file.

Not a business yet Early Open-source projectAI + ProductivityRecruitment and job search servicesJob seekers screening postings daily and filling application forms at volumeCross-market opportunityOpen-source traction 44
Team / maker
selfishprimate
First tracked here
2026-09-22
Last updated here
2026-10-03
Product site
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01

Why this would be needed

Start inside the user's day · Public facts + observable behavior · 2026-10-03

Use case

During a job hunt, a seeker faces many postings across several sources each day, must screen the applicable ones by location, visa, salary, sector, seniority and language, then fill each application form.

The prior method is browsing each job site posting by posting, tracking applications in a spreadsheet or notes, and filling every application form by hand.

Screening rules are numerous and repetitive, comparing each posting and filling each form is time-consuming, and applications and skips leave no traceable record, making duplicate applications or missed qualifying postings likely.

xOcto's call

Demand is evidenced

Trend: high-repetition, rule-heavy job screening and form filling is being split into a rules file, browser-side auto-fill and an auditable record. Entry: start with cross-border job seekers or specific visa-path groups who have hard filters, selling the rule set and application log as a reusable asset; pricing is undisclosed and must not be invented.

Reason to use it

Why users would choose it

Compared with manual screening and form filling, it fixes the filters into a rules file, has the agent fetch and filter daily, fills forms in the user's own Chrome, and writes each application or skip as a greppable, diffable markdown record, removing the per-posting comparison and repeated form filling. Inference: seekers with hard filters and high application volume would choose it for that reason.

Where the easy answer breaks down

The tension worth following

An English validation note will follow from the public evidence.

If this is your job

Worth trying. Compared with manual screening and form filling, it fixes the filters into a rules file, has the agent fetch and filter daily, fills forms in the user's own Chrome, and writes each application or skip as a greppable, diffable markdown record, removing the per-posting comparison and repeated form filling. Inference: seekers with hard filters and high application volume would choose it for that reason.

Entry and what to borrow

Trend: high-repetition, rule-heavy job screening and form filling is being split into a rules file, browser-side auto-fill and an auditable record. Entry: start with cross-border job seekers or specific visa-path groups who have hard filters, selling the rule set and application log as a reusable asset; pricing is undisclosed and must not be invented.

What this judgment rests on
Public fact

A job seeker lets this Claude Code agent pull postings from job sources daily, filter them against self-set rules (location, visa, salary, sector, seniority, language), fill application forms in the user's own Chrome, and record every application or skip as a readable, greppable, diffable markdown file.

Workflow reasoning

Compared with manual screening and form filling, it fixes the filters into a rules file, has the agent fetch and filter daily, fills forms in the user's own Chrome, and writes each application or skip as a greppable, diffable markdown record, removing the per-posting comparison and repeated form filling. Inference: seekers with hard filters and high application volume would choose it for that reason.

The unknown that could change the call

An English validation note will follow from the public evidence.

02 · Consensus Insufficient evidence

The assessment is recorded; an English explanation is pending.

02

Chinese and English ecosystems

Market comparison · Cross-market opportunity

English ecosystem · English-language market

Local supply: Emerging
Demand evidence: Not yet verified

Public coverage has been recorded for this market. · 2026-10-03

Chinese ecosystem · CN

Local supply: Not found in covered sources
Demand evidence: Not yet verified

Public coverage has been recorded for this market. · 2026-10-03

There is no full analysis yet. Start with the direction above.

Public information is limited; this view will update as more evidence appears. It was recently added and does not yet have verifiable usage data.

Full analyses of similar products: qm, genoffice

04

Verifiable public evidence

Evidence trail

05

Go from the product name to primary material

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