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49 changes: 49 additions & 0 deletions docs/product/00-problem-hypothesis.md
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# Problem Hypothesis

Write this yourself, fast, before doing any research below. This is your working claim — not yet validated, meant to be challenged by what follows (the canvas, the interviews). Timebox: 30–60 minutes. If you're stuck on a prompt, write "I don't know yet, but I believe X" and move on.

## What's broken today?

*From your own experience building and running ragTech's pipeline — be specific. Not "editing podcasts is hard" but the actual moments that cost you time or made you want to quit. (You already have a technical version of this in `docs/rfcs/0001-native-desktop-rewrite.md` — this should be the human/time-cost version, not the architecture version.)*

- Editing long-form podcasts is a timely process with many repeated elements, especially so for podcasters who are not yet established and have full-time work commitments.
- We are often using free softare like Capcut or Microsoft Clipchamp due to lack of funds, which can be buggy and take up more editing time
- It takes a dedicated half a day at least to do a standard 30min-1H podcast edit, consindering we have to clean audio, sync audio and video, cut between speakers, add intro and name title cards, and outro
- Creating short-form content through clipping for publicity from the long-form takes another day, especially when you want to create enough to distribute and promote across 1-2 weeks
- our ragTech team rotates the task amongst three of us every two weeks per episode, but even then the process is tedious. We want to focus on the content, on engaging with our audience and our products, not just social media marketing and editing.
- We don't have the funds to outsource this, and we also want to retain consistency and quality across edits
- Three of us have different editing styles and tastes, but we want to be consistent throughout and hold ourselves to high standards. However those standards inevitably falter when we don't have time. Before we built the internal prototype, each of us edited with our own software/taste and consistency suffered noticeably; the prototype has already improved this somewhat. Consistency is a problem we want the product to actively solve (e.g. house style/brand rules baked in so output quality doesn't depend on who's editing that cycle) — but it's a lower priority than raw editing speed.
- We have an intermediary prototype that works for our own videos, but it is hacky. Now we want to scale up to editing for other podcasts so this can be a viable business

## Who else likely has this problem?

*Hypothesis, not yet validated. Solo creators? Small teams like yours (2-3 person podcasts)? Agencies editing for multiple clients? Be as specific as you can about who — "podcasters" is too broad to interview against later.*

- Small podcast teams just starting out — small and growing, not yet established. (400-500 followers is a rough observation from podcasters we personally know, not a strict threshold; the defining trait is "small and growing," not a specific follower count.) Split further into: (1) founders who have side businesses and income, and pay podcast studios to edit their videos and create short-form. (2) people with full-time work trying to start a podcast, editing on their own with their own resources and software like Riverside.
- Companies who want to start their own podcasts for marketing and lead generation.
- Both of the above are live/plausible segments for us right now — we haven't picked one over the other, and which we chase first may partly depend on who approaches the podcast studio rental partnership below rather than a deliberate choice we've made ourselves.
- Podcast studio rental companies who want to offer editing services to their own clients (we were reached out by one and are in the midst of securing the partnership). The shape of this partnership: they route editing work to us as a subcontractor — we do not expect them to operate our tool themselves; we (ragTech) use it internally to fulfill the work.

## Why now?

*What's changed that makes this worth building now rather than 2 years ago, or worth someone switching tools for now?*

- Content creation has become more accessible, including podcast creation, due to social media and editing tools
- More companies are using podcasts for marketing and lead generation
- podcast rental studios are becoming more popular and automated (https://www.thelfgpod.com/), as well as affordable, but editing services for long-form are still largely manual and require expertise. Poddster for example, charges ~$200+ for a full episode edit, and another $200+ for 3 shortform clips from there.
- AI is being used for video editing increasingly, but commercial/cloud AI models are expensive per-token and carry real ethical/sustainability costs. ragTech is branded around being responsible technologists — building on local, efficient AI models (transcription, diarization, etc. running on-device rather than through cloud APIs) gives us a legitimate, concrete cost and sustainability advantage over AI-heavy competitors, not just a philosophical stance.

## What does success look like in 12 months?

*Concrete, not aspirational. E.g. "ragTech renders episodes in under 1 hour instead of 8" and/or "10 other podcast teams are using this weekly."*

- ragTech renders episodes in under 1 hour instead of 8
- ragTech operates as a **service business powered by internal tooling** — we are editing for 10 other podcast teams weekly, delivered as subcontracted/outsourced editing work (e.g. via the studio-rental partnership), not as a self-serve product those teams operate themselves.
- Beyond 12 months (not a year-1 commitment): if the service model validates real demand and pricing, we want the option to evolve toward a self-serve product other teams operate directly. The service business is how we keep improving the product with real usage while we figure out if/when that transition makes sense.

## Explicit non-goals

*What are you deliberately NOT trying to solve, at least for v1? (E.g. not a general-purpose NLE, not competing with Premiere/Resolve, not supporting every camera format.) This matters more than it seems — scope creep here becomes scope creep in the engineering RFC.*

- Not solving for generic video-editing — scoped to podcast-style content: single-host/interview formats and multi-camera/multi-speaker conversational shows. In scope: both the long-form episode edit AND repurposed derivatives from that same source footage (short-form clips, marketing cuts) — this is not long-form-only, it explicitly includes content repurposing/marketing use cases.
- Not GA'ing the *software* to self-serve external users this year — the tool stays internal, operated only by our team. What we sell externally in year one is the editing *service* (subcontracted work, e.g. via the studio-rental partnership), not the app itself. A self-serve product other teams operate directly is a possible future direction (see 12-month success metric above), not a v1 goal.
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# Lean Canvas

Fill this out in one sitting, ~45 minutes, all three cofounders in the room if possible. Don't overthink any single box — the point is to get your current best guess down so it can be tested, not to be right on the first pass. Expect to revise this after the first few customer interviews; that revision is the artifact working as intended, not a failure.

Reference: [Ash Maurya's Lean Canvas](https://leanstack.com/lean-canvas) — 9 boxes, fill in roughly this order (1 → 9):

## 1. Problem

*Top 1-3 problems. Pull directly from `00-problem-hypothesis.md`.*

- Editing a standard 30min-1hr multi-cam podcast episode takes a full half-day minimum (audio cleanup, sync, cutting between speakers, intro/outro), plus another full day to cut short-form clips for 1-2 weeks of promotion — unsustainable for teams with full-time jobs or limited budget.
- Affordable DIY tools (CapCut, Clipchamp) are buggy and slow editing down further; professional alternatives are priced per-episode in a way that doesn't scale with volume, and hiring in-house/freelance editors isn't affordable for small/early teams.
- Editing quality/style consistency suffers when work is split across multiple people or done ad hoc — a real problem for anyone trying to hold a brand/production standard.

### Existing alternatives

*What do people with this problem do today? (Remotion/DaVinci/Premiere themselves, a video editor they hire, just not editing multi-cam at all, Descript, etc.) Naming the real alternative — including "doing nothing" or "hiring a freelancer" — matters more than naming a direct competitor.*

- DIY with free/prosumer tools: CapCut, Clipchamp, Riverside — free or cheap but buggy, slow, no automation for multi-cam jump cuts or transcript-driven editing.
- Paid editing services/studios: e.g. Poddster (Singapore) — S$273 recording + S$280 standard episode edit + S$453 manual-subtitle add-on + S$280 for 3 highlight clips = S$1,286/cycle for a comparable bundled outcome; line-item add-on pricing, not bundled. Full comparison in `docs/PRICING_TIERS.md` (`editing-services` branch).
- In-house or freelance editor — costs money, and (per our own experience) still needs consistency/QA oversight.
- Doing nothing / publishing raw or minimally-edited footage — some early podcasters skip proper editing entirely due to cost/time, at the expense of quality.

## 2. Customer Segments

*Who exactly. Refine the "who else has this problem" guess from the hypothesis doc into something specific enough to recruit interviews against.*

Three named segments (aligned with `docs/EDITING_PACKAGES.md` on the `editing-services` branch):

- **Segment 1 — primary near-term, real deal in motion: Podcast Studios and Agency Partners (B2B2B).** Studios/agencies running production for multiple podcast clients who want to expand editing capacity/margin without building an in-house team. We fulfill; they route work and own the client relationship. Currently negotiating with one such studio — pricing tiers (Essential/Growth/Premium, S$179-S$749) are being proposed as what the studio can offer *its* clients, with poddedit fulfilling behind the scenes. This is the segment with a real, live competitive purchase decision, so it's the one the UVP is written against.
- **Segment 2 — live: Independent and Creator-Led Podcasts.** Solo hosts/small teams publishing consistently on YouTube/Spotify/TikTok, need multi-format repurposing without a large time investment. Could be reached directly (tiered self-serve packages) or via a studio/agency.
- **Segment 3 — live: Business and Thought-Leadership Podcasts.** Founder-led/B2B/company podcasts using episodes for brand and demand-gen; want polished output without managing in-house post-production. Likely willing to pay more for reliability/speed than Segment 2, per willingness-to-pay analysis in `docs/FINANCIAL_PROJECTIONS.md`.
- Segment priority isn't fully locked — Segment 1 is the immediate focus because a deal is actively in motion, but 2 and 3 are real, named, and not just hypotheses waiting on Segment 1 to fall through.
- **ragTech itself is not treated as a canvas customer segment** — we're the maker, not a market test, since we can't lose our own business to a competitor. But note: the actual day-to-day *operator* of the tool is a ragTech team member either way (our own episodes or client work) — poddedit has to work for that operator persona regardless of which segment's footage it is.

### Early adopters

*Within that segment, who would try something rough/unfinished first? These are who you interview and design-partner with first — not the mainstream of the segment.*

- The specific podcast studio rental company currently in partnership talks — real, already in motion, highest priority to convert into a design partner for both the service and the underlying product.
- Other studio-rental or podcast-production agencies in the same category (similar to thelfgpod.com) who may have the same "we want to offer editing without building it ourselves" need.

## 3. Unique Value Proposition

*One sentence. What do you offer that's different/better, and why should a target customer care in the first 10 seconds?*

- Fast, consistent multi-cam podcast editing — delivered in hours, not days — powered by efficient local AI instead of expensive cloud-token models.
- *(For Segment 1 specifically: reliable, affordable subcontracted editing capacity a studio can route client work to without building an editing team themselves.)*

## 4. Solution

*Top 3 features that address the top problems above. Resist listing everything in the RFC's build order — this is the customer-facing subset, not the technical roadmap.*

1. Automated multi-cam jump-cut editing driven by the transcript (sync, camera switching, cuts) — removes the most repetitive manual work.
2. Fast native rendering — turns a many-hour render into under an hour, enabling same-day turnaround for subcontracted client work.
3. Built-in short-form/clip repurposing from the same long-form source — covers the "another full day" of clipping work in one pipeline, not a separate tool/pass.

## 5. Channels

*How would target customers actually find/reach this? (Podcast communities, YouTube creator forums, word of mouth from ragTech's own audience, etc.)*

- B2B2B: direct relationship-building with podcast studio rental companies / production agencies — the current partnership is the first channel, not a hypothetical one.
- ragTech's own audience/network — credibility as working podcasters who built this to solve our own problem.
- Podcast creator communities — relevant mainly if/when Segment 2 or 3 becomes the near-term focus.

## 6. Revenue Streams

*If this becomes a product — subscription, one-time license, usage-based, or genuinely undecided. It's fine to write "undecided" but write down the options you're actually considering.*

- **Primary: per-episode tiered packages.** Essential (S$179-229) / Growth (S$279-399) / Premium (S$499-749), scaled by episode length, plus add-ons (extra clip +S$30, extra carousel +S$50, rush +25%, chapter markers S$29, custom branding S$299++, annual retainer = 1 month free). Full detail in `docs/PRICING_TIERS.md` and `docs/EDITING_PACKAGES.md` (`editing-services` branch).
- Deal-specific and still to be settled in the studio negotiation itself: whether the studio pays these tiers directly as a wholesale/fulfillment rate (flat fee or rev-share with the studio's own markup on top) vs. some other split — this doc's `docs/EDITING_PACKAGES.md` presents the tiers as what a studio could offer *its own clients*, not necessarily poddedit's price to the studio itself.
- Possible future, not v1: subscription or usage-based self-serve pricing if a direct-to-creator/product path opens up (Segments 2/3 without a studio intermediary).

## 7. Cost Structure

*Rough — engineering time (the big one right now), infra/hosting if any, model/API costs if you keep any cloud-dependent ML features.*

- Engineering time — dominant cost right now (the native rewrite itself).
- Editor labor time — the real constraint once doing paid client work. `docs/FINANCIAL_PROJECTIONS.md` estimates hands-on time per tier (Essential ~1.0h, Growth ~2.0h, Premium ~4.0h) implying effective hourly returns of S$156-204/h across tiers even before the render-speed improvements this rewrite targets — meaning faster rendering directly increases effective hourly rate, not just "nice to have."
- Compute — local/on-device AI models (whisper.cpp, ONNX) avoid ongoing cloud API/token costs; this is a deliberate cost-structure choice, not just a UVP talking point.
- No hosting/infra cost currently — this is a native desktop tool operated internally, not a hosted service.

## 8. Key Metrics

*The few numbers that would tell you this is working. (E.g. time-to-render-an-episode, weekly active editors, retention after first project, NPS.)*

- Render time per episode (RFC target: under 1 hour, down from up to 8).
- Edit turnaround time per client project — raw footage to delivered edit.
- Episode volume per person/month — `docs/FINANCIAL_PROJECTIONS.md` Scenario B (Growth-led) targets ~17 episodes/month/person at S$5,658/month; team-of-3 target S$16,500-18,000/month (~51 episodes/month combined). These are the concrete version of the 12-month "10 client teams weekly" success metric in `00-problem-hypothesis.md` — worth reconciling the two into one number once the studio deal's actual terms are known.
- Rework/revision rate per client project — a consistency proxy.
- Cost per episode edited (labor + compute) vs. revenue per episode — unit economics of the service business.

## 9. Unfair Advantage

*Something competitors can't easily copy. Be honest — for a v1 this might legitimately be "nothing yet" or "our own dogfooding/domain expertise as working podcasters," which is a real but modest advantage.*

- We are working podcasters *and* full-time software engineers — deep, lived domain expertise in the exact workflow we're building for, plus the ability to build the fix ourselves rather than commission it or wait for someone else to. That combination is rare: most people who feel this pain can't build the solution, and most people who could build it don't feel the pain.
- Local/efficient AI architecture (vs. expensive cloud-token competitors) is a real, structural cost advantage tied directly to the native rewrite's technical decisions — not just brand positioning.
- An inbound B2B2B relationship already in motion — real distribution advantage vs. competitors who'd have to cold-sell into studio partnerships from scratch.

---

## Revision log

*Every time you revise a box based on real evidence (an interview, a churned assumption), note it here with the date and what changed. This is what makes the canvas a living hypothesis document instead of a one-time exercise.*

| Date | Box changed | What changed | Why (evidence) |
|------|-------------|--------------|-----------------|
| 2026-07-10 | Existing Alternatives, Customer Segments, Revenue Streams, Cost Structure, Key Metrics | Replaced "undecided" placeholders with concrete pricing tiers, three named segments, and financial targets | Reconciled with pre-existing negotiation collateral on the `editing-services` branch (`docs/PRICING_TIERS.md`, `EDITING_PACKAGES.md`, `FINANCIAL_PROJECTIONS.md`), written by Natasha to negotiate the podcast-studio partnership offer. Not yet validated by customer interviews — still a hypothesis, just a more concrete one. |
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