FeatureWish vs featureOS: a free feedback loop vs a $60/mo product suite

featureOS — the tool formerly known as Hellonext — made a deliberate bet: grow from a feedback board into a product-management suite. Today it bundles five modules (feedback board, roadmap, forms, changelog, knowledge base) plus AI-powered analytics, and prices accordingly: $60/month to start, with extra seats and extra boards at $15/month each.

That’s a coherent product for a funded startup consolidating tools. But if what you actually need is the feedback loop — a board your users post to, a roadmap that updates itself, a changelog that closes the loop — you’re buying a suite to get a board.

Here’s the honest comparison.

The short version

featureOS facts reflect their public plans at the time of writing (July 2026): no free tier; a 30-day trial, then Starter at $60/mo (5 seats, 5 boards, 3 integrations, all AI features, custom domain), Growth at $120/mo (10 seats, 10 boards, SSO, white-labeling, API), Business at $250/mo — extra seats and boards at $15/mo each on lower tiers, ~17% off annually. Check featureos.com/pricing for current numbers before you decide.

Suite pricing vs loop pricing

The gap here isn’t a feature checkbox — it’s what you’re being asked to pay for.

featureOS charges $60/month because it’s five products: the board, the roadmap, the changelog, a forms builder, and a knowledge base, with AI analytics across all of it. If you’d otherwise pay for a help-center tool and a survey tool separately, the bundle can genuinely pencil out.

But the modules aren’t separable — there’s no “just the board” plan. So a small team that needs feedback + roadmap + changelog is paying suite prices for loop features, and the marginal costs compound in the wrong direction: your sixth team member is $15/month, your sixth board is $15/month, your fourth integration is a plan upgrade. The tool gets more expensive as your team and product surface grow — the same scaling tax, just keyed to seats and boards instead of tracked users.

FeatureWish prices the loop at what the loop costs: $0. Boards, voting, comments, roadmap, changelog, and the widget are free forever with unlimited team members and unlimited tracked users; the flat $20/month Pro plan adds branding removal, custom CSS, GitHub/Linear, the MCP server, and up to five workspaces. There is no per-seat or per-board meter at any price.

What you get with FeatureWish

• The complete feedback loop, free forever. Not a 30-day evaluation — the free plan is the product. Unlimited voters, unlimited teammates, three boards (10 per workspace on Pro).
• Duplicate suggestions without an AI bill. As users type a request, similar existing posts surface so they upvote instead of reposting — keyword-based, built in, free. (featureOS does this with AI, which is genuinely nice; ours catches the common cases without a suite subscription.)
• Vote integrity built in. Salted IP-hash abuse signals on every vote, plus per-board verified-email voting for high-stakes requests — the roadmap reflects demand, not brigades.
• Embeds that keep voter identity. Third-party iframe storage gets partitioned or evicted by Safari and Firefox, silently splitting voters on most tools. FeatureWish bridges a durable first-party token from your own page into the widget.
• An SEO-ready public portal. Server-rendered board/roadmap/changelog pages with real meta tags and a sitemap — crawlable and agent-readable.
• Slack notifications, free. New posts and status changes in your channel on the $0 plan.

What about AI agents and MCP?

featureOS leans hard into in-product AI — summaries and analytics across its modules, included on every plan. What it doesn’t document, at the time of writing, is an MCP server: a way for your AI tools (Claude, Codex, Cursor, and other MCP clients) to read and act on your feedback from outside the product.

That distinction matters more than it sounds. In-product AI answers questions inside their dashboard; MCP puts your feedback in the room where you already work. FeatureWish ships a built-in MCP server on the flat $20/month Pro plan: seven scoped tools — list boards and posts, read a request with its full comment thread, pull the roadmap and changelog, file a post, update a status (which emails the voters) — behind one revocable token. Your agent can run triage, weigh votes against implementation effort in your actual codebase, and draft specs from comment threads. Setup snippets on the MCP server page; workflows on FeatureWish for AI agents.

Where featureOS is the better choice

Genuinely:

• You want the suite. If you’d otherwise buy a knowledge-base tool and a forms tool anyway, featureOS consolidating them with feedback into one AI-analyzed system at $60/month can be cheaper than the sum of parts.
• In-product AI today. AI summaries and analytics on every plan, now — FeatureWish doesn’t do AI analysis.
• A custom domain today. Included from Starter. FeatureWish doesn’t offer custom domains yet (planned).
• User segmentation. Growth and Business plans segment feedback by user attributes — useful for B2B teams weighing feedback by account tier. FeatureWish doesn’t do segmentation.
• A generous trial. 30 days is the longest trial in this category — enough to evaluate properly.

Switching is low-risk

The feedback-loop concepts map one-to-one: boards, posts, votes, comments, statuses, roadmap, changelog, widget. What doesn’t map (knowledge base, forms) is exactly the part you’d only miss if you were using it — in which case, stay. Otherwise, FeatureWish’s free plan means the evaluation costs nothing and never expires.

Bottom line

featureOS is a real product suite at a product-suite price: $60/month plus $15 per extra seat or board. If you need five modules, that can be fair value. If you need a feedback board, a roadmap, and a changelog, FeatureWish does that free forever, with unlimited teammates — and $20/month buys the white-label, integrations, and MCP features featureOS reserves for its $120/month tier.

Try the free board first — no card, no module bundle.