~5–10 min
Map your competitive landscape
Who else is solving this problem? How are they positioned? Where are the gaps? Get a focused competitive analysis grounded in real PM frameworks, not a feature-comparison checklist.
The agentic Product Brain.
Senior PM work (customer research, competitive analysis, strategy, prototypes) running on your product's compounding memory.
Claude Code remembers your build commands. ProductLobster remembers your product.
Audit your productIf you already have a product.
Start with an ideaIf you have an idea, not a product yet.
Free during beta. Audit in minutes. No PM experience required.
The problem
Engineering velocity is no longer the bottleneck. Product is.
AI just changed the bottleneck in product development. Engineering velocity used to be the constraint. Now coding agents ship a sprint in a day, and the bottleneck moves to product: taste, customer understanding, and the rigor of discovery.
Anthropic now ships project memory natively in Claude Code, which solves the engineer's context problem. It doesn't solve the product organization's problem: durable, structured product memory with explicit ontology and decision-grade compounding state.
The PMs who win the next decade will be the ones whose product organizations operate on a Product Brain that no general-purpose memory layer can replicate, because the value is in the ontology and the workflow that runs on it.
For builders with an idea
You've got an idea. You're already prompting Lovable, V0, or Cursor. They ship code fast. You don't yet know if anyone needs what you're building. Who are the customers? What pushes them to switch from their existing solution? Is there real demand? You're not a PM. There's no way to do this work, except hire someone or wing it.
For operators with a product
Your product is live. You have customers, analytics, support tickets. You don't know what's stalling growth, or what to build next. The PRD you wrote six months ago is stale. You can't afford a PM hire. The competitive landscape moved last quarter and nobody on your team has time to refresh it.
You could use ChatGPT or Claude. Both remember your chats and hold your project files. Neither structures them by problem, customer, competitor, or decision — which is what product work runs on.
You could wire up Glean or Sentra. They're built for 200-person companies with established data warehouses.
You could pay for ChatPRD or Disko. They assume you're a PM.
You could hire a senior PM at $130K+ per year.
None of these are the right solution.
You don't need another tool. You need a Product Brain that compounds the work a senior PM would do, on your idea or on your product, every week, every conversation, every analysis. That's what ProductLobster can do for you.
Your audit in minutes
The best way to feel the power of the Product Brain: bring an existing product, and we'll audit it.
01~2 min
Tell us about your product
Have a conversation about what you're building. What's the product, who's it for, what's working, what's stalling. The system asks the questions a senior PM would ask, and listens for what you didn't say.
02Optional
Upload what you have
Pitch deck, customer transcripts, competitor notes, analytics exports, sales playbooks. Drop any of it in the chat. The system reads, extracts, and deposits everything into your product's brain. If you don't have docs ready, the conversation is enough to start.
03Instant
Run your first audit
Your workspace is live. PM chat already knows your product. Pick the audit your strategic moment calls for: competitive landscape, customer research, or the full 5-stage product audit. Or follow the system's recommendation. Everything from here compounds.
Most AI tools give you a blank prompt. We give you a Product Brain that already knows what you're working on, built from the conversation you just had and the docs you shared. That's the first deposit. By the time you read your first audit, the brain knows more.
Or start with an idea.
If you don't have a product yet, just a concept you've been turning over, the same opening conversation builds your Product Brain from the idea up. We map the customers you'd need to validate, the competitors you'd be choosing between, the demand signals to look for. Same workspace. Same compounding brain. Different starting point.
Start with an ideaThe workflow
The senior PM workflow running on your Product Brain
ProductLobster doesn't just generate output. It runs the workflow.
Customer research, competitive analysis, strategic framing, prototype iteration, roadmap maintenance: methodology applied invisibly, against your product's accumulated memory. The system challenges your thinking instead of confirming it. Where evidence is thin, it tells you what to validate.
This is context engineering for product teams. We built the product-vertical implementation.
~5–15 min
Understand your customers
Who are your customers, really? What pushes them to switch? What holds them back? Get needs-based segmentation and demand signals, not generic personas.
~10 min
See what it could look like
Turn your thinking into something visual. A clickable prototype built from everything the system knows about your product, your market, your users, and the strategic decisions you've locked along the way.
~60–90 minFull audit
Run the full audit
When the moment calls for the full picture: operational diagnosis, competitive positioning, customer signal analysis, strategic opportunity assessment, and a prioritized 90-day action plan. With three checkpoints where you review the thinking and lock the direction. Everything connected.
The system suggests what to do next, and explains why. Each analysis builds on the last. Competitive context shapes the customer research; customer signals shape the strategic frame; strategic decisions shape the prototype. Browse all available analyses any time.
The checkpoint pattern
Three pause-and-decide moments in every comprehensive analysis.
The system makes a strong recommendation, explains it, and waits. You review three genuinely distinct options, then lock the one that's right for your product. The decision gets recorded into your Product Brain, where every subsequent analysis can read it.
Senior PM judgment, durable as state. Not regenerated from scratch every conversation.
Your 10th conversation is smarter than your 1st.
Every conversation, document, analysis, and decision deposits into your product's brain.
Last week's competitive scan informs this week's strategy question. Yesterday's customer feedback enriches today's analysis. The prototype you generated for the pivot meeting draws on accumulated context. The checkpoint decision you locked at Stage 4 of your audit shapes the next audit you run six weeks from now.
ChatGPT remembers your conversations. Claude holds your project files. Both give you persistent context across sessions. Neither knows the difference between a customer signal, a competitor move, a stale hypothesis, and a strategic decision.
ProductLobster's Product Brain is a knowledge graph typed by problem, customer, competitor, opportunity, decision, hypothesis, experiment, roadmap, and outcome — each with a citation to the source document or conversation it came from and a timestamp showing how recent it is. So an analysis can ask "which decisions are stale," "which competitors shipped what," or "where is the evidence thin" and get a real answer, not a paragraph that summarizes a transcript.
Memory is the substrate, shipped everywhere. PM-workflow ontology on top of it is the irreducible difference.
Anthropic ships memory. ProductLobster ships Product Brain.
Day 1 → Day 7 → Day 30
Day 1
- Product profile from the onboarding conversation
- One pitch deck and a customer survey uploaded
Day 7
- + Competitive scan
- + Customer research with needs-based segments
- + 4 PM chat sessions referencing your competitive map
Day 30
- + Strategic framing
- + Clickable prototype iteration
- + 3 decision checkpoints locked
- + Granola transcripts from 5 customer calls (when Phase 1 agentic ships)
Each layer makes the next interaction richer. The brain is a deposit account. Interest compounds.
Right-sized for builders, not enterprise.
A real problem got a catchy name, the catchy name attracted hype, and now most of the content about it is written by people selling something. Within a fortnight, at least four startups rebranded around the term. For a 15-person team or solo operator, it's like buying a combine harvester to tend a window box.
She's right about the category as it's being sold to small teams by enterprise vendors.
Sentra, Hyperspell, Glean are right-sized for 500-person companies — dedicated IT teams, established data warehouses, 10-person PM orgs, 8-week onboarding budgets. For a 15-person team trying to ship product faster than competitors, that's the wrong shape of tool.
ProductLobster's beachhead is the founder who can't afford to hire a PM, not the enterprise procurement team.
We deliver value in the first session. The workspace is single-product. The integration surface is a chat that accepts drag-and-drop documents. No Mixpanel hookup required. No SOC 2 audit. No two-week onboarding. No deck of stakeholders to align.
Smaller surface area, faster activation, no IT project required.
ProductLobster is right-sized for the founder running product work alongside the build.
What we're not
- A 200-employee enterprise platform
- A whole-company knowledge graph
- A two-week integration project
What we are
- A solo-to-small-team workflow surface
- A product-specific compounding brain
- An audit you can run in your first session
Built for builders
Plug into the AI tools you already use.
Real PM methodology
The work a senior PM team would do, run against your product. Customer research, competitive scan, strategic framing, prototype iteration. Decades of practice. No jargon in the output.
Built by a product leader
25 years of senior product leadership distilled into the methodology and the product. Every framework in ProductLobster was applied in market, not lifted from a textbook.
Designed for you
No PM vocabulary required. No configuration. Describe your product in plain language. The Product Brain learns YOUR product, not a generic PM template. Audit your product the way a senior PM would audit it, without becoming a PM.
What's next
Run Product Brain queries — and PM work — from the tools you already use.
ProductLobster is live in a Private Beta phase with everything you see above, but we wanted to let you know what comes next. Your Product Brain will ship with a set of commands any AI agent can call. Once available, connect from Claude Code, Claude Desktop, Cursor, Windsurf, or Cline. The agent runs the command; the Product Brain does the work and hands back exactly the result the agent needs. No tool sprawl. No context bloat. No reinventing your product's state every conversation.
Brain queries
Coming soonRead your Product Brain's state
- pl context-pack
- Emit an agent-ready bundle of your Product Brain. Hand to any external agent and skip the setup conversation.
- pl stale-hypotheses
- Surface assumptions older than your threshold, ranked by likely impact on the roadmap.
- pl unaddressed-signals
- Customer signals captured in the Brain that have not influenced a strategy, prototype, or roadmap entry.
- pl brain-health
- Composite score: completeness across customer evidence, competitive state, and decisions; freshness of each layer.
- pl thesis-drift
- Where your current workspace state diverges from your locked product profile.
Brain actions
Coming soonRun PM work from inside any agent
- pl audit
- Run a full 5-stage product audit on your Product Brain. Returns the structured analysis.
- pl launch
- Run a full 7-stage launch analysis on a new idea. Returns the structured analysis.
- pl focused-analysis
- Run a single focused analysis — competitive landscape, customer research, or strategic frame.
- pl prototype
- Generate a clickable prototype from the current Product Brain state. Returns the HTML bundle.
- pl refinement
- Open a refinement session on a specific analysis or prototype output.
Brain queries read your product's state. Brain actions make the Product Brain do PM work. Both will run server-side, against the same compounding memory. One handoff per command.
Distribution: native MCP server (coming soon).
The Brain is what the workflow produces. ProductLobster is the workflow that builds it and keeps it sharp.
Built secure by default.
When the MCP server ships, it ships the way it should have been built across the category: OAuth-first authentication, no static credentials, read-only by default, scoped permissions per workspace, every Brain command call audit-logged.
The Product Brain already validates and quarantines content before any agent reads it, so a hostile document or a prompt-injection payload in someone's email cannot escalate into your product's state. That discipline carries forward to the agentic surface.
Coming soon
Your Product Brain runs by itself.
Your Product Brain doesn't just sit there between sessions. It works the room while you build. These Phase 1 agentic capabilities are coming soon:
- Coming soonGranola transcripts auto-ingested
Your customer calls become structured product signal in your KG, the day they happen.
- Coming soonGmail thread monitoring
Customer emails about your product land as observations, not unread inbox debt.
- Coming soonWeekly briefing
Every Monday, a Product Brain summary of what changed in your product's state — new signals, stale hypotheses, decisions needing revisit.
- Coming soonProactive monitoring
Set watchers on competitor pages, market signals, your own analytics. The Brain pings you when something material moves.
Pricing
Claude Code Memory ships free with your $20/mo Claude Pro subscription. It solves the engineer's context problem.
ProductLobster ships the layer above: a Product Brain with opinionated PM workflow, for the founder running product work alongside building.
Free
Beta only
$0
during beta
- 1 workspace (read-only after day 30)
- 3 PM Analyses (lifetime)
- 1 Full Product Audit or New Product Launch Analysis (lifetime)
- 30 PM chat turns
- 5 document uploads (lifetime)
- 1 prototype (lifetime)
Plus
$29
per month
- 1 workspace
- 50 PM Analyses
- 1 Full Product Audit or New Product Launch Analysis per month
- PM chat (300/day)
- 50 document uploads per month
- 2 prototypes per month
Pro
$79
per month
- 3 workspaces
- Unlimited PM Analyses
- 6 Full Product Audits or New Product Launch Analyses per month
- PM chat (1,000/day) + maximum reasoning
- 200 document uploads per month
- 10 prototypes per month
- MCP server access (coming soon)
Studio
$200
per month
- Unlimited workspaces
- Unlimited PM Analyses
- 15 Full Product Audits or New Product Launch Analyses per month
- PM chat unlimited + maximum reasoning
- Unlimited document uploads
- 30 prototypes per month
- MCP server access (coming soon)
Buy more capacity on demand when you need it, no subscription upgrades required.
Priced in tangible outcomes, not tokens.
- +1 full Launch pipeline
- +1 full Audit pipeline
- +1 Comprehensive analysis
- +1 PM Analysis
- +1 Prototype generation
- +1 Prototype refinement session (15 turns)
Available on Plus, Pro, and Studio.
You're already spending $25/mo on Lovable, $20/mo on Claude Pro, $20/mo on ChatGPT. For $29/mo, get a Product Brain that knows YOUR product, and gets sharper every week.
Minutes to your Product Brain.
Tell us about your product. Upload what you have. The system audits, the workspace compounds, and the work a senior PM team would do is running by lunch.
Free during beta. No credit card required. Audit in minutes. No PM experience required.
Start with an idea.
Tell us about the idea you've been turning over. We'll review your application and send you an invite when your spot opens. Free during beta. No credit card required.
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