FAQ HubBootstrapped · Early seed · Pre-revenueStart a conversation

The support layer between your product and your users

Turn product knowledge into answers customers can trust.

FAQ Hub gives lean SaaS teams one controlled knowledge layer for help centres, in-app search, and grounded AI support.

Built, not conceptual

Pre-revenueNow proving activation, willingness to pay, and repeatable distribution.

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The problem

Support starts as a few questions. Then it takes over the week.

01

Knowledge fragments

Answers live across PDFs, release notes, old pages, and the founder’s head.

02

Self-service loses trust

Stale docs and unsupported AI answers train customers to open a ticket instead.

03

The team becomes the index

Founders and engineers repeat answers instead of improving the product.

“The chatbot is not the hard part. Deciding what it is allowed to say is.”

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The product

One governed source. Three ways to get an answer.

Import what already exists, review it in a real CMS, and publish cited answers wherever users need help. When the evidence runs out, FAQ Hub stops and hands over the context.

CONTROL LAYERVerified support CMSHuman approval · product scope · source history
01

Embedded chat

Grounded answers inside the product.

02

Inline help

Searchable guidance without leaving the workflow.

03

Hosted portal

A branded destination for deeper support.

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How it works

Messy material becomes a support system.

FAQ Hub grounded support workflowScattered source material is imported, structured, reviewed, and published as cited answers across three support surfaces, with unresolved questions handed to a person.IMPORTAPPROVEPUBLISHESCALATEINPUTScattered knowledgePDF · DOCX · WEB · MDAIStructureDRAFT · CATEGORISECONTROLReview & publishHUMAN APPROVALEmbedded chatCITED ANSWERSInline helpIN-CONTEXT SEARCHHosted portalDEEPER SUPPORTHuman supportCONTEXT INCLUDEDLEGENDSOURCE / HANDOFFHUMAN GATECUSTOMER-FACING OUTPUT
  1. 01 · InputBring scattered knowledgePDF · DOCX · WEB · MD
  2. 02 · StructureDraft and categoriseAI-assisted, not auto-published
  3. 03 · ControlReview and publishHuman approval
  4. 04 · DeliverChat, inline help, and portalCited, product-scoped answers
  5. 05 · EscalateHand unresolved questions to a personConversation context included

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Why now

AI made answers cheap. Trust became the scarce input.

01

Customers expect an answer now

They increasingly start with search or AI before opening a ticket.

02

Every interface can become support

Help no longer needs to live in a separate portal or heavyweight helpdesk.

03

Governance is the missing layer

Teams still need control over sources, approvals, scope, citations, and escalation.

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Market and expansion

Start with teams that feel support pain before they can justify support software sprawl.

The wedge is deliberately narrow. The product surface is not.

ExpansionMulti-product and enterprise support operations
NextGrowing SaaS support teams
BeachheadFounder-led SaaS
Bottom-up revenue potential at today’s Growth price
1,000 customers≈ $1.19m ARR
10,000 customers≈ $11.88m ARR
Illustrative arithmetic at $99/month, not a forecast or current pipeline.

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Business model

Predictable product pricing. No support-seat tax.

Solo Founder$49/month

One product, up to 500 articles, and all core delivery surfaces.

Growth Team$99/month

Three products, higher usage, custom domains, and escalation webhooks.

EnterpriseCustom

Managed rollout, more products, higher limits, and tailored terms.

LandOne product and one painful support workflow.ExpandMore products, more knowledge, more support surfaces.

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Why FAQ Hub can win

The control loop is the product.

A chat window is easy to copy. A dependable operating loop across content, retrieval, delivery, and escalation is not.

  1. 01
    Content operations first

    Ingest, structure, approve, publish, and improve from one system.

  2. 02
    Product-scoped retrieval

    Tenant boundaries and source selection are part of the architecture.

  3. 03
    Second-pass answer judgement

    Unsupported answers fail closed instead of improvising.

  4. 04
    Distribution where users work

    The same source powers chat, inline help, and a hosted portal.

  5. 05
    Human escape hatch

    Unresolved conversations keep their context when they escalate.

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Current stage

The technical risk is down. The commercial questions are next.

STATUSPre-revenue

No invented ARR. No customer logos without permission. The product is ready for a controlled first cohort.

PRODUCTWorking end to end

Content ingestion, review, search, grounded chat, citations, delivery surfaces, billing, and escalation.

VALIDATIONEngineering evidence

More than 1,100 backend tests and production builds across the API, portal, and marketing surface.

NEXT PROOFPaying reference customers

Activation, first grounded answer, retained usage, conversion, and measurable ticket deflection.

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The early-seed plan

Fund proof, not speculative feature volume.

Capital and investor access shorten the path from working product to repeatable demand.

01 · Validate

Win the first reference cohort

Founder-led sales, hands-on onboarding, and weekly product interviews.

Proof: activation and paid conversion
02 · Repeat

Turn onboarding into a system

Reduce time to first trusted answer and package the strongest use cases.

Proof: retained usage and referrals
03 · Distribute

Build focused acquisition loops

Free tools, founder communities, product-led trials, and selected channel partners.

Proof: efficient qualified pipeline
Principal riskDistribution and repeatable willingness to pay, not whether the core system can be built.

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Start a useful conversation

Help prove the next part of FAQ Hub.

We are speaking with early-seed investors, SaaS founders, support leaders, and channel partners who value disciplined validation over inflated claims.

FOUNDERDane

Solo technical founder with 12+ years building enterprise platforms, now applying those operating standards to support software for lean teams.

Direct to the founder. No sales maze.
faqhub.ioGrounded support, wherever users need it.

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