About TierBoard

The problem with the signal

Company prestige moves careers in ways people don't always say out loud. It shows up in which offers get accepted, which referrals get favors, which logos get mentioned first in conversation. But the signal itself is fragmented: recruiter opinions, subreddit threads, what your senior friend said once over lunch. All confident. All contradictory.

TierBoard aggregates it. One question, asked at scale, turned into a live board you can read off and argue with.

The vote

Two companies. No context, no salary data, no Glassdoor scores. Just: which would you rather work at? Tap one and move on. No account required.

We don't filter by role, seniority, or any other qualifier. A new grad and a principal engineer each get one vote. The board is whatever that mix produces.

The companies

We started with the names that come up in actual offer comparison conversations: FAANG, the quant shops, the AI labs, the unicorns people have opinions about. Anyone can nominate a company via the Missing a company? button on the board. We add active tech companies that clear a basic relevance bar, and remove a company only when it stops applying — acquired, wound down, or no longer in the conversation.

Newly added companies don't show on the board right away. They collect votes first, staying off the rankings until the score has enough data to be stable. Early scores swing too much to be useful.

What the board is

The rankings have no editorial input. We don't seed favorites, tune scores, or intervene when the board produces a result we didn't expect. What you see is a direct readout of aggregate vote data. Curious about the model? Methodology has the full breakdown.