You're pledging to donate if the project hits its minimum goal and gets approved. If not, your funds will be returned.
lokerdollar.com is a free, no-login job-search service for workers in Indonesia and Southeast Asia. It offers AI-generated job summaries, a resume/CV ATS checker, an application-autofill browser extension, and a structured dataset of 6,700+ live postings across 3,200+ companies aggregated from 18 sources. To date: 90,000+ AI generations, 12,000+ job summaries served, ~1,600 monthly users. This grant funds only the project's free, public-benefit components.
Goal: lower job-search friction for workers in a developing economy where listings are fragmented, low-transparency, and youth underemployment is high. Over the next ~6 months: (1) keep the free seeker tools — AI job summaries, ATS resume checker, autofill extension — running free and ad-free; (2) publish the aggregated labor-market data (postings, salary ranges, skill demand) as an openly downloadable public resource for job-seekers, journalists, and researchers. Achieved by covering the AI-inference and hosting cost the free tier runs on.
Minimum ($1,000): ~1.5 months of AI inference for the free seeker tools (job summaries, ATS resume checker, autofill polish) on managed model APIs. Full goal ($5,000): ~6 months of that inference, plus hosting and a one-time engineering push to publish the open labor-market dataset (cleaned export + public download/API). No funds go to paid marketing or commercial features — the for-profit side is self-funded by existing affiliate/ad revenue.
Solo founder: a software engineer and technical educator in Jakarta with 10+ years' experience — security/compliance background (ISO 27001, SOC 2, GDPR), published technical courses, instructor at Indonesian bootcamps. Built and run lokerdollar single-handed since ~March 2026. Track record on this project: 18 ingestion sources live, 6,700+ jobs and 3,200+ companies indexed, 90,000+ AI generations served at ~97% cron reliability. GitHub: github.com/kelvindesman
Most likely failure: the open dataset draws less external research use than hoped, or free-tool adoption stays small (~1,600 monthly users today) and public-benefit reach is modest. Downside is bounded — the grant is small, spend runs through metered AI APIs, and the worst case is simply that the free tools and dataset stay live for the funded window without large uptake. No safety, dual-use, or harm risk: this is a job-search utility and a labor-market dataset.
$0 in external or dilutive funding. The project is bootstrapped and self-funded from modest affiliate and ad revenue (low hundreds of USD/month); Cloudflare for Startups credits cover infrastructure. Outstanding applications not yet decided: Emergent Ventures, a $1,000 Awesome Foundation micro-grant, and AI-credit programs (Anthropic, Together AI). None overlap this grant's scope.
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