Ecosystem Partner: Alibaba Cloud AI Catalyst $120K TRACK

Executive Summary

The AI Job Application Copilot for Indonesia.

Skillsy turns one CV into a personalized, honest application for every job a user chases: a trustworthy match score today, optimized applications next, and the country's only dataset connecting skills to real hiring outcomes tomorrow.

Chrome extension, currently in closed build. Public beta and Chrome Web Store launch later this year. Backed by Alibaba Cloud ecosystem grant for subsidized inference.

The Problem

Applying blind is expensive, and everyone does it.

Job seekers cannot read a posting against their own CV honestly. They overestimate fit, spray applications, and never learn why they were rejected. Official data from Badan Pusat Statistik (BPS):

7.47MOpenly unemployed competing for the same jobs (BPS, Aug 2024)

4.91%National open unemployment rate (BPS, Aug 2024)

6-12Months an average fresh graduate spends job hunting

Rp 5.28MAverage salary, highest-paying sector: Info & Communication (BPS, Aug 2025)

Product Today

Live and working, not a mockup.

The core analysis engine is built, tested end-to-end, and deployed. Every claim below ships in the current build.

1. KNOWDeterministic match score with a full breakdown: experience, core skills, plus skills, education. Identical inputs always produce identical scores.

2. UNDERSTANDPer-requirement gap analysis with evidence quoted from the user's own CV, narrated in natural Indonesian by a separate AI stage that cannot change the verdict.

3. ACTOne-click ATS keywords and a cover letter assembled from the user's real experience. Works on LinkedIn, JobStreet, Glints, Kalibrr, and 3 more boards.

Privacy by design

The CV PDF is parsed inside the browser and never uploaded. No account required. This is both an ethics choice and a Chrome Web Store distribution advantage.

The SIGAP Engine: anti-hallucination by architecture

Our in-house 4-stage pipeline (born at a Bank Indonesia hackathon, now the production core) works on one rule: the machine decides, the LLM narrates. Skill verdicts come from a deterministic synonym engine with transferable-credit logic; the score is computed by a fixed formula, never generated by a model. Full walkthrough with a live determinism proof: skillsy.my.id/sigap-engine.html

OFFICIAL CLOUD GRANT

Alibaba Cloud AI Catalyst

Officially accepted into the Alibaba Cloud AI Catalyst Program ($120k AI credits track). Multi-model pipeline runs on subsidized cloud infrastructure with near-zero marginal cost.

Roadmap

From analysis tool to application operating system.

LATE 2026

Beta & Public LaunchWaitlist onboarding, Chrome Web Store listing, server persistence, and initial distribution via organic job hunter loops.

CV Tailor: one CV, every job personalizedThe monetizable core. AI reorders, rephrases, and emphasizes real experience to fit each posting, with an anti-fabrication guard enforced in code: the AI may present experience better, never invent it. PDF rendered client-side, zero server cost.

THEN

Application tracker and the outcome loopUsers report interview and offer outcomes. Scores become calibrated against real hiring results, producing Indonesia's only skills-to-outcome dataset. That dataset is the moat: better scores, the Skillsy Index, and B2B licensing.

Why We Win

Thin today, compounding tomorrow.

The outcome data flywheel

Every scan is anonymous demand data. Every tracked application is supply data. Once outcomes flow in, Skillsy owns the only dataset answering: which skills, presented how, actually get Indonesians hired. Competitors can copy features; they cannot copy accumulated outcomes.

Indonesian skill taxonomy

A curated synonym and transferable-skill engine mapping how Indonesian employers actually phrase requirements (SLIK, BPJS, KPR, Dicoding-era certification culture). It improves passively with every scan.

Trust as product

Deterministic scoring, evidence-based verdicts, honest hard-filter warnings, privacy by design. In a market burned by flashy AI tools, being the honest one is positioning nobody is fighting for.

Distribution

B2B2C via university Career Development Centers for zero-CAC adoption, plus the Skillsy Index as a recurring SEO and PR engine aimed at job seekers themselves.

Monetization

Free where it spreads, paid where it hurts.

B2C Freemium

Scan, gap analysis, and ATS keywords stay free. Pro subscription unlocks CV Tailor, unlimited optimized applications, and AI mock interviews built on the user's real gap history.

B2B Universities

Career centers license Skillsy for cohort employability analytics: which skills their graduates actually lack against live market demand.

Data products

The Skillsy Index and, later, an API licensing outcome-calibrated matching to local ATS vendors and recruiters.

Anticipated Questions

Investor Q&A

Is this just an LLM wrapper?

The LLM extracts and narrates; it never scores. Verdicts come from a deterministic synonym engine, experience is computed from years, and the final score is a fixed formula over per-requirement judgments. Same input, same output, every time. That reliability is the product.

What happens when LinkedIn changes their layout?

Scraping selectors are configuration, not code: they can be fixed server-side without republishing the extension. A generic fallback extractor already covers unknown layouts, and analysis quality is designed to survive partial scrapes.

Why will users pay?

They are not paying for analysis; they are paying per application they care about. One scan optimized into one tailored CV plus cover letter has obvious value at the moment of intent, the same moment JobScan charges roughly USD 50/month for in the US market.

What is the go-to-market?

Two engines. B2C: Chrome Web Store plus the Skillsy Index content loop for organic acquisition. B2B2C: university career centers embedding Skillsy for near-zero CAC distribution at cohort scale.

How do you handle data privacy for CVs?

The PDF never leaves the user's browser. Analysis text is processed in memory and not stored. This is documented publicly in our privacy policy and engineered that way from the start, which also simplifies Chrome Web Store compliance.

Let's Connect

Interested in the seed round? Reach the founder directly.

EMAIL FOUNDER LINKEDIN

Investor Deck Access