Nodeflair

Payslip-verified salary data and career platform for tech talent across Asia

Every piece of salary data on Glassdoor is unverified. A user types in a number, submits it, and it sits alongside hundreds of other numbers with no way to know which reflect reality and which reflect wishful thinking, sour grapes, or simple error. NodeFlair requires a payslip. That's the whole idea — and it turns out to be a meaningful one.

Why salary data is broken — and why it matters

The hiring market is structurally opaque. Companies guard compensation data as competitive information. Employees generally don't discuss their own remuneration, and when they do, the numbers travel through social networks where accuracy is impossible to verify. The platforms that aggregate self-reported salary data — Glassdoor, Levels.fyi, LinkedIn — are useful as directional signals but unreliable as decision-making tools. Any single data point could be accurate, inflated, deflated, or simply misremembered.

This matters for both sides of the market. For a tech professional trying to negotiate a job offer, unverified salary data creates uncertainty — and uncertainty in negotiation typically disadvantages the party with less information, which is almost always the candidate, not the employer. For a hiring manager benchmarking compensation packages, inaccurate market data leads to packages that are either uncompetitively low (losing candidates) or unnecessarily expensive (damaging headcount efficiency). The information asymmetry costs everyone.

NodeFlair closes it by requiring document verification — payslips and offer letters — before salary data is accepted into its database. The result is a dataset that can be trusted in a way that self-reported aggregations cannot. As of their 2024 salary report, that database contained over 422,000 verified data points across eight Asian markets, growing 2.5x year-over-year. That's not just a product feature. It's a defensible data asset that compounds in value as it grows.

The product: from data moat to full-stack career platform

NodeFlair's origin was the salary transparency insight — but the platform has expanded into a full career OS for tech professionals. Alongside verified salary data, users get job listings filtered by compensation, company reviews, recruiter ratings, and an annual Tech Salary Report that has become a reference document for the region's tech industry. The 2025 report, for instance, showed software engineer salaries in Singapore rebounding 3.3% after a prior year dip — the kind of granular, directional data that gets cited in board rooms, HR planning discussions, and salary negotiations.

The demand-side flywheel is well-established: salary data acts as the lead magnet, attracting both passive job seekers (who want to benchmark their current compensation) and active ones (who want to filter opportunities by real pay ranges). That traffic becomes the distribution channel for job listings, which is the B2B revenue model — employers pay to reach a highly qualified, self-selected audience that is already thinking about their next move.

The employer side is equally compelling. Companies like NVIDIA, ByteDance, Dyson, Shopee, Alibaba, and Google use NodeFlair to source tech talent across the region. These aren't brands that advertise on generic job boards — they're on NodeFlair because the candidate quality, filtered by technical role and salary expectations, is meaningfully higher than what general platforms produce.

The founder: built for this, tested by it

Ethan Ang co-founded NodeFlair in 2018 at 25, driven by what he observed among peers in the tech community: talented engineers making poor career decisions because they couldn't access reliable information about what they were actually worth. Before NodeFlair, he had already demonstrated an unusual level of operational trust — while an intern at ShopBack, he was tasked with building tech teams from scratch in Taiwan and Vietnam, which he later described as "quite a feat for an intern to take on solo."

The NodeFlair journey hasn't been linear. Ethan has been public about the fact that the company has pivoted three times and twice came close to insolvency. That history matters for two reasons. First, it's a survival filter: the team has navigated existential pressure and come out building something with genuine market traction. Second, it demonstrates the kind of honest self-reflection that characterises founders who learn rather than simply persist — Ethan's public acknowledgement that the company gave good advice to clients but "lacked the will to uphold the same standards internally" reflects a maturity uncommon in early-stage founders.

The investor syndicate around NodeFlair is a further signal. The Series A was led by Iterative and included 500 Global and Persol Venture Partners — the corporate VC arm of Japan's largest HR group, which brings both capital and operational expertise in talent markets. Angel investors include Quek Siu Rui (CEO of Carousell), JJ Chai (CEO of Rainforest), and Siew Kum Hong (former COO of Airbnb China). These are people who understand tech talent markets at depth, and chose to back this team.

Why this market, and why now

The structural demand for trusted tech compensation data is accelerating rather than moderating. The AI-driven transformation of the tech labour market — where some roles are seeing salary compression while others (software engineers who integrate AI tools, for instance) are seeing renewed demand — makes real-time, verified salary data more valuable, not less. When the market is moving quickly, opinion-based benchmarking becomes actively dangerous. NodeFlair's dataset, growing at 2.5x annually, is positioned to be the authoritative source through that transition.

The geographic expansion story is also intact. Singapore is the beachhead — a mature, high-compensation market where salary transparency has the highest immediate value. Vietnam, Malaysia, the Philippines, Indonesia, India, and Taiwan are all covered in the salary report and represent expanding addressable markets as tech ecosystems deepen. The platform's 90% organic traffic acquisition — driven by search, media coverage, and word-of-mouth — means expansion doesn't require proportional marketing spend. It requires more data, which more users provide.

What would have to be true for this not to work

The primary execution risk is monetisation velocity. NodeFlair has built a strong top-of-funnel and a genuine data asset; the question is how efficiently it can convert that into employer revenue at scale. The job board and recruitment platform market in Asia is competitive — LinkedIn, JobStreet, Tech in Asia Jobs, and others are well-capitalised. NodeFlair's differentiation is vertical focus and data quality, but maintaining that positioning requires continued investment in the salary data product as the core draw.

There's also a data quality maintenance challenge as scale increases. The payslip verification model is a moat, but it's also operationally intensive. Ensuring that verification standards hold as the database grows to millions of data points — and that the platform remains trustworthy enough to command the premium it charges employers — requires sustained discipline. The track record so far is strong; sustaining it as a category leader will be the ongoing test.

We backed NodeFlair because the data asset is real, the distribution model is capital-efficient, and the founder has demonstrated the resilience and self-awareness to build through adversity. The tech talent market in Asia is large, growing, and chronically underserved by transparent information. NodeFlair is building the infrastructure that fills that gap — and doing it in a way that gets harder to replicate each year.