Why we built Psyth: one platform instead of ten

If you're running a modern technology company today, you probably live inside roughly the same stack we did before we started Psyth: Linear or Jira for issues, BambooHR or Rippling for HR, Notion for docs, Slack for chat, Lattice or Culture Amp for reviews, Toggl or Harvest for time, and a bolted-on AI chatbot pretending to tie any of it together.

Each of those tools is, individually, very good. The collective experience of using them is awful. Decisions made in Slack don't show up in Linear. OKRs in Lattice live three integrations away from the issues that actually drive them. The AI 'assistant' you bought can read your wiki but can't reassign a ticket. The seams between tools are where context — and accountability — quietly disappear.

Psyth is a bet that the seams matter more than the individual surfaces.

The thesis

We believe teams operate as a single graph. People work on issues. Issues compose into projects. Projects deliver against goals. Goals are reviewed during performance cycles. Performance is influenced by capacity, which is shaped by leave, which is informed by team mood. Every node in this graph has a relationship to every other node. The way most companies model it today — as ten disconnected SaaS subscriptions — is a UX accident, not a design choice.

When you model the graph natively, several things become possible that aren't possible in a stitched-together stack:

• An AI agent can actually do useful work, because it has read/write access across the whole graph rather than read-only access to one node.
• Performance reviews can be informed by the actual work that shipped, not by what employees remember to write down.
• OKRs can update themselves, because progress is just a query against the issues that drive them.
• Capacity planning understands leave, sprint commitments, and team velocity in the same view.
• Standups generate themselves, because the AI can see what was completed yesterday and what's blocked today.

Why now

Three things became true in the last 18 months that made building Psyth viable.

First, foundation models became good enough — and cheap enough — to act as a reasoning layer over operational data. Earlier AI features were demos: clever in isolation, useless under real conditions. Modern tool-calling models can navigate a complex permission graph, call the right APIs, and verify their own work.

Second, the cost of building a fast, polished product has collapsed. The Vercel + Cloudflare + Supabase stack lets a small team ship at the quality bar that used to require a 50-person frontend org. We built Psyth in months, not years, with a team you could fit in a car.

Third, the patience for SaaS sprawl has run out. Buyers — especially CTOs and CEOs of mid-stage companies — are openly skeptical of adding a tenth or eleventh subscription. The pitch 'one tool that replaces seven' lands in a way it wouldn't have in 2018.

What we got right and wrong

We got the speed bar right. Psyth is fast — keyboard-first, ⌘K everywhere, optimistic updates. We were unwilling to ship anything that felt slower than Linear, and that constraint shaped the entire architecture.

We got the people-ops graph right. Issues link to OKRs link to people link to leave link to reviews. The graph is the product.

We got the AI surface mostly right. The hardest design problem was making the AI behave like a teammate — bounded by RBAC, audited, and capable of being interrupted. The early prototypes were too eager to act; we had to teach the agent when to confirm.

We got the social proof wrong. The first version of this site shipped with placeholder testimonials. We removed them this week. We'd rather show no testimonials than fake ones — Google's quality raters and AI engines treat fabricated authority as a demerit, and frankly, so do you.

What's next

We're in public beta. Early teams are using Psyth to replace combinations of Linear, Jira, BambooHR, Notion, and Lattice. The next few months are about three things: shipping the integrations marketplace, hardening the AI agent's tool-call layer, and getting SOC 2 done so the conversation with enterprise procurement teams gets simpler.

If you've been wishing the seams between your tools would close, we'd love your feedback. Try Psyth free for up to 5 members — no credit card — and tell us what's broken.