# $3.28M Asking Price on -$406 & $0 Recent Revenue (Composer.AI & Based Labs) vs. SoundBoost.ai's 9.35x Growth ($48.6K/mo)

- **Case ID**: BID-064 (Composer.AI & Based Labs AI vs. SoundBoost.ai)
- **Category**: Acquisitions Forensics · $3.28M Asking Price on -$406 & $0 Recent Revenue (Composer.AI & Based Labs) vs. SoundBoost.ai's 9.35x Growth ($48.6K/mo)
- **Published**: 2026-11-07
- **Author**: Jimmy (https://www.jimmydecodes.com/en/about/)
- **Canonical URL**: https://www.jimmydecodes.com/en/cases/composer-ai-based-labs-vs-soundboost-ai/

## The Short Answer (Verdict)

> [Verified] How can two AI startups with **`-$405.66` and `$0.00` in last-30-days verified revenue** demand a combined **`$3,280,000` acquisition price** and attract **15 buyer offers**, while a bootstrapped Turkish audio tool quietly grows monthly revenue **`9.35x` to `$48,610/mo`**? Let's audit the three primary-source ledgers:
1. **Acquisition Forensics: Exposing `$3.28M` of 'Frozen-MRR Zombie Listings'**:
   - **Composer.AI / Muxa-AI Music SongMaker (`muxa-ai`)** (iOS App `id6503041526`, Bundle ID **`com.starland.suno`** [Verified trademark piggybacking], `0` X followers, `40.0%` margin [Self-Reported], synced Nov 7, 2026 via RevenueCat): boasts **$2,128,002 all-time revenue** (`$998,358` LTM) and listed for sale on **Sep 11, 2026** asking **`$1,100,000`** (`2,780` views, `6` offers). Unwary buyers see the stale `$21,357 MRR` (`3,554` subs) badge, but the monthly ledger exposes a total collapse: from `$103,937` in May 2026 and `$78,814` in Sep 2026 down to **`-$224.81` in Oct 2026** and **`-$405.66` in the last 30 days (`-100.7%` MoM — net refunds exceeding gross sales!)**.
   - **Based Labs AI (`basedlabs.ai`)** (US, founded Dec 11, 2023 by `Michael Aubry @michaelaubry`, `11,215` X followers, DR `68.0`, synced Nov 7, 2026 via Stripe): shows **$1,254,077 all-time revenue**, a frozen `$28,537 MRR` (`873` subs) snapshot, and a **`$2,180,000` asking price** (`4,278` views, `9` offers). Yet its monthly Stripe ledger reveals **$0.00 in verified revenue across every single month from Jan 2026 through Nov 2026** (`$0.00` last 6 months, `$0.00` last 30 days)!
2. **SoundBoost.ai (formerly Diktatorial, `soundboost.ai`): `9.35x` Revenue Growth via Prompt-Guided Mastering**:
   - Founded Nov 8, 2023 in Turkey by **Berkan Cesur (`@berkan_cesur`, `7,669` X followers**, synced Nov 7, 2026 via Stripe + RevenueCat).
   - Instead of running low-margin ad arbitrage on trademarked keywords, SoundBoost built a **Free AI Stem Splitter** top-of-funnel magnet (`628,739` registered users [Self-Reported]) that converts creators into its core paid engine: **Prompt-Guided AI Audio Mastering** (translating plain-English prompts into studio EQ, multiband compression, and `-14 LUFS` loudness chains).
   - **Verified Ledger Performance**: **$326,007 all-time revenue**, **$250,474 LTM**, with monthly revenue surging **`9.35x`** from **`$5,200` in Dec 2025** to **`$48,610` in Oct 2026** (`$46,413` last 30d `+14.7%`, **$30,070 Current MRR `+25.2%` MoM** across **2,827 active subscriptions** = `$10.64/mo` subscription ARPU)!
Our solo B2B playbook: **1) Never bid on a SaaS listing without verifying that Last-30-Days cash receipts match or exceed stated MRR. 2) Replicate SoundBoost.ai's 'Free Stem-Splitter / Audio Cleanup SEO Wedge + Prompt-to-DSP Mastering Pipeline' for podcast networks, audiobook publishers, and localized video dubbing studios!**

What is the deadliest trap in SaaS acquisition marketplaces? 'Million-Dollar Zombie Listings' that flaunt $1M–$2M+ all-time revenue and stale MRR snapshots while their actual recent net revenue is negative (-$405.66) or $0.00! Auditing three AI audio/media ledgers exposes the truth: 1) iOS music wrapper Composer.AI (Muxa-AI Music SongMaker, Bundle ID `com.starland.suno` — piggybacking on Suno's trademark!) boasts $2,128,002 all-time revenue, a stale $21,357 MRR badge, and a $1,100,000 asking price (listed Sep 11, 2026 with 6 offers), yet its verified Oct 2026 revenue is -$224.81 and last-30-days revenue is -$405.66 (net refunds exceeding sales!); 2) AI image/video suite Based Labs AI (basedlabs.ai) shows $1,254,077 all-time revenue, a frozen $28,537 MRR badge, and a $2,180,000 asking price (9 offers), despite recording $0.00 in verified Stripe revenue across every single month from Jan to Nov 2026! 3) Meanwhile, Turkish founder Berkan Cesur's SoundBoost.ai (formerly Diktatorial, soundboost.ai — prompt-guided AI audio mastering + free stem splitter wedge) grew monthly revenue 9.35x in 10 months from $5,200 (Dec 2025) to $48,610 (Oct 2026), reaching $30,070 MRR (+25.2% MoM) across 2,827 active subscriptions!

## Key Numbers (Evidence-Graded)

| Metric | Figure | Evidence Level | Source & Basis |
| --- | --- | --- | --- |
| SoundBoost.ai (soundboost.ai) 9.35x Growth Ledger | All-Time $326,007 | Dec 2025 $5,200 -> Oct 2026 $48,610 (9.35x) | MRR $30,070 (+25.2%) | Verified | [Verified] TrustMRR Stripe + RevenueCat sync (2026-11-07, 2,827 active subs) · $46,413 last-30d revenue (+14.7%); driven by Free Stem Splitter SEO wedge + Prompt Mastering |
| Composer.AI / Muxa-AI ($1.10M Negative-Revenue Listing) | All-Time $2,128,002 | Sep 2026 $78,814 -> Oct 2026 -$224.81 | Last 30d -$405.66 | Verified | [Verified] TrustMRR RevenueCat sync (2026-11-07, Bundle ID `com.starland.suno`) · Listed Sep 11, 2026 for $1,100,000 (0.0x) right before revenue turned negative from refunds |
| Based Labs AI ($2.18M Zero-Revenue Listing) | All-Time $1,254,077 | Jan–Nov 2026 Verified Revenue: $0.00 | Asking Price: $2,180,000 | Verified | [Verified] TrustMRR Stripe sync (2026-11-07, frozen $28,537 MRR snapshot badge) · $0.00 verified revenue over the last 6+ months, yet attracted 9 offers via stale snapshot metrics |
| 'Free Stem Splitter -> Prompt Mastering' Funnel Math | 628,739 Self-Reported Signups -> 2,827 Active Paid Subscriptions ($10.64/mo Sub ARPU) | Self-reported | [Self-Reported + Derived] From SoundBoost metrics and verified Stripe/RevenueCat ledger · Plus $16,343/mo in one-off/annual mastering credits above base MRR with near-zero CAC |
| Solo B2B 'Prompt-to-DSP Podcast & Dubbing Mastering' Engine | $420/mo Studio Retainer | Replicate Demucs + Matchering/FFmpeg COGS <= $55/mo | ~87% Margin | Our estimate | [Model Estimate] LLM translates natural language into deterministic DSP filter chains · Automates vocal stem isolation, de-essing, and -14/-16 LUFS broadcast normalization at scale |

## 1. Primary-Source Stripe Ledger Audit: Composer.AI & Based Labs AI vs. SoundBoost.ai

What is the deadliest trap in SaaS acquisition marketplaces? 'Million-Dollar Zombie Listings' that flaunt $1M–$2M+ all-time revenue and stale MRR snapshots while their actual recent net revenue is negative (-$405.66) or $0.00! Auditing three AI audio/media ledgers exposes the truth: 1) iOS music wrapper Composer.AI (Muxa-AI Music SongMaker, Bundle ID `com.starland.suno` — piggybacking on Suno's trademark!) boasts $2,128,002 all-time revenue, a stale $21,357 MRR badge, and a $1,100,000 asking price (listed Sep 11, 2026 with 6 offers), yet its verified Oct 2026 revenue is -$224.81 and last-30-days revenue is -$405.66 (net refunds exceeding sales!); 2) AI image/video suite Based Labs AI (basedlabs.ai) shows $1,254,077 all-time revenue, a frozen $28,537 MRR badge, and a $2,180,000 asking price (9 offers), despite recording $0.00 in verified Stripe revenue across every single month from Jan to Nov 2026! 3) Meanwhile, Turkish founder Berkan Cesur's SoundBoost.ai (formerly Diktatorial, soundboost.ai — prompt-guided AI audio mastering + free stem splitter wedge) grew monthly revenue 9.35x in 10 months from $5,200 (Dec 2025) to $48,610 (Oct 2026), reaching $30,070 MRR (+25.2% MoM) across 2,827 active subscriptions!

[Verified] How can two AI startups with **`-$405.66` and `$0.00` in last-30-days verified revenue** demand a combined **`$3,280,000` acquisition price** and attract **15 buyer offers**, while a bootstrapped Turkish audio tool quietly grows monthly revenue **`9.35x` to `$48,610/mo`**? Let's audit the three primary-source ledgers:
1. **Acquisition Forensics: Exposing `$3.28M` of 'Frozen-MRR Zombie Listings'**:
   - **Composer.AI / Muxa-AI Music SongMaker (`muxa-ai`)** (iOS App `id6503041526`, Bundle ID **`com.starland.suno`** [Verified trademark piggybacking], `0` X followers, `40.0%` margin [Self-Reported], synced Nov 7, 2026 via RevenueCat): boasts **$2,128,002 all-time revenue** (`$998,358` LTM) and listed for sale on **Sep 11, 2026** asking **`$1,100,000`** (`2,780` views, `6` offers). Unwary buyers see the stale `$21,357 MRR` (`3,554` subs) badge, but the monthly ledger exposes a total collapse: from `$103,937` in May 2026 and `$78,814` in Sep 2026 down to **`-$224.81` in Oct 2026** and **`-$405.66` in the last 30 days (`-100.7%` MoM — net refunds exceeding gross sales!)**.
   - **Based Labs AI (`basedlabs.ai`)** (US, founded Dec 11, 2023 by `Michael Aubry @michaelaubry`, `11,215` X followers, DR `68.0`, synced Nov 7, 2026 via Stripe): shows **$1,254,077 all-time revenue**, a frozen `$28,537 MRR` (`873` subs) snapshot, and a **`$2,180,000` asking price** (`4,278` views, `9` offers). Yet its monthly Stripe ledger reveals **$0.00 in verified revenue across every single month from Jan 2026 through Nov 2026** (`$0.00` last 6 months, `$0.00` last 30 days)!
2. **SoundBoost.ai (formerly Diktatorial, `soundboost.ai`): `9.35x` Revenue Growth via Prompt-Guided Mastering**:
   - Founded Nov 8, 2023 in Turkey by **Berkan Cesur (`@berkan_cesur`, `7,669` X followers**, synced Nov 7, 2026 via Stripe + RevenueCat).
   - Instead of running low-margin ad arbitrage on trademarked keywords, SoundBoost built a **Free AI Stem Splitter** top-of-funnel magnet (`628,739` registered users [Self-Reported]) that converts creators into its core paid engine: **Prompt-Guided AI Audio Mastering** (translating plain-English prompts into studio EQ, multiband compression, and `-14 LUFS` loudness chains).
   - **Verified Ledger Performance**: **$326,007 all-time revenue**, **$250,474 LTM**, with monthly revenue surging **`9.35x`** from **`$5,200` in Dec 2025** to **`$48,610` in Oct 2026** (`$46,413` last 30d `+14.7%`, **$30,070 Current MRR `+25.2%` MoM** across **2,827 active subscriptions** = `$10.64/mo` subscription ARPU)!
Our solo B2B playbook: **1) Never bid on a SaaS listing without verifying that Last-30-Days cash receipts match or exceed stated MRR. 2) Replicate SoundBoost.ai's 'Free Stem-Splitter / Audio Cleanup SEO Wedge + Prompt-to-DSP Mastering Pipeline' for podcast networks, audiobook publishers, and localized video dubbing studios!**

## 2. Solo B2B Productized Architecture: Creator & Podcast Agency 'Free Stem-Splitter Wedge + Prompt-Guided AI Mastering & Loudness Normalization' SaaS & Retainer

[Layer 1: Zero-CAC SEO Wedge (Free AI Stem Splitter & Vocal Isolator)] Stack: Next.js + Replicate / Modal serverless `htdemucs` (Meta open-source stem model) — Clones SoundBoost's 628k-user acquisition magnet: free 4-stem separation (Vocals, Drums, Bass, Other) at ~$0.008 per track in serverless GPU compute (Cost: ~$12/mo usage)

[Layer 2: 'Natural-Language Prompt -> Deterministic DSP Chain' Translator] Stack: Claude 3.7 Sonnet / GPT-4o-mini Structured JSON Output — Never use generative audio LLMs for mastering (expensive & halluzinates)! Use an LLM to translate prompts ('warm analog low-end, crisp vocal presence, -14 LUFS Spotify spec') into exact parametric EQ, multiband compression, and limiter JSON parameters (Cost: ~$8/mo API)

[Layer 3: Reference-Track Audio Mastering & Loudness Normalization Core] Stack: Open-source `Matchering 2.0` + `FFmpeg` (`loudnorm`, `anequalizer`, `acompressor`) — Executes deterministic 24-bit WAV mastering in 5 seconds on cheap CPU workers by matching reference tracks and applying the LLM's DSP parameter chain (Cost: $15/mo VPS worker)

[Layer 4: Loudness-Matched Before/After A/B Player & Paywall Gate] Stack: Wavesurfer.js Dual-Waveform Toggle + Stripe Billing — Lets creators A/B test a 30-second loudness-matched preview in-browser before unlocking full 24-bit WAV exports via a $12/mo pro plan or $299/mo agency batch tier (Cost: $0/mo)

[Layer 5: SaaS Acquisition Due-Diligence 'Zombie Detector'] Stack: Automated Stripe/RevenueCat Cash-to-MRR Ratio Formula — Computes `Cash_to_MRR_Ratio = Last_30d_Net_Revenue / Stated_MRR`; flags any listing below `0.70` (catching Composer.AI's `-0.019` and Based Labs' `0.00` instantly) (Cost: $0/mo)

## 3. Step-by-Step Zero-Code Execution & Risk Mitigation

Step 1: Build the 'SaaS Zombie Due-Diligence Scorecard' (`SaaS_Zombie_Audit`): Before acquiring or cloning any AI tool, internalize the forensic lesson from Composer.AI ($1.10M asking price on -$405.66 30d net revenue) and Based Labs AI ($2.18M asking price on $0.00 revenue across Jan–Nov 2026). Create a Google Sheet named `SaaS_Zombie_Audit` with 7 exact columns: `Target_Name`, `Asking_Price`, `Stated_MRR_Snapshot`, `Last_30d_Verified_Net`, `Cash_to_MRR_Ratio` (`Last_30d_Verified_Net / Stated_MRR_Snapshot`), `Bundle_ID_Trademark_Risk` (checking for trademark squatting like `com.starland.suno`), and `Audit_Verdict`. (Guardrail: Enforce two non-negotiable kill switches: 1) Auto-reject any startup where `Cash_to_MRR_Ratio < 0.80` (proving the MRR badge is a stale snapshot masking mass churn or refunds); 2) Only model startups like SoundBoost.ai where `Last_30d ($46,413) / MRR ($30,070) = 1.54` with consistent month-over-month expansion!)

Step 2: Launch a 'Free AI Stem Splitter & Vocal De-Esser' SEO Wedge: Why did SoundBoost.ai attract 628,739 registered users without risky trademark ad-arbitrage? Because it offers a free **AI Stem Splitter** top-of-funnel utility! Deploy a Next.js landing page backed by Meta's open-source `htdemucs` on Modal/Replicate (~$0.008 per run) that splits any uploaded track into Vocals, Drums, Bass, and Instrumental for free. While the user downloads their isolated stems, display an instant acoustic diagnostic card: **'Your vocal stem measures -23.4 LUFS with harsh 6.8kHz sibilance — click to preview a Prompt-Guided Studio Master in 5 seconds.'** (Guardrail: Allow free 128kbps MP3 stem downloads to maximize organic backlinks and word-of-mouth, while gating 24-bit WAV exports and Prompt-Guided Mastering behind your subscription.)

Step 3: Copy-Paste the 'Prompt-to-DSP Mastering Translator' System Prompt: Never use generative audio diffusion models to master client audio (it alters performance nuances and ruins unit economics). Instead, use Claude 3.7 Sonnet to translate plain-English prompts into deterministic `FFmpeg` + `Matchering` Digital Signal Processing (DSP) filter chains:
```text
You are a Grammy-winning Mastering Engineer and FFmpeg/SoX DSP Architect. Input Audio Telemetry (via FFmpeg ebur128): [Insert Integrated LUFS, True Peak dBTP, Loudness Range LRA, and Spectral Balance]. User Natural-Language Prompt: [Insert Prompt, e.g., 'Make the vocal warm and intimate like an NPR podcast, tame harsh sibilance, and hit -14 LUFS for Spotify'].
Output ONLY a valid, deterministic JSON DSP chain matching this exact schema:
1. `parametric_eq_bands`: 4–6 bands specifying center frequency (Hz), Q-factor, and gain (dB — e.g., +1.8dB at 120Hz for warmth, -3.2dB at 6800Hz for de-essing).
2. `multiband_compressor`: Low/Mid/High crossover frequencies, thresholds (dB), ratios, attack (ms), and release (ms).
3. `stereo_imaging`: Sub-150Hz mono-maker enforcement and high-shelf harmonic exciter settings.
4. `loudnorm_target`: Target Integrated LUFS (-14.0 for Spotify/YouTube, -16.0 for Apple Podcasts) and True Peak ceiling (-1.0 dBTP).
5. `engineer_notes`: A crisp 2-sentence explanation of the exact acoustic adjustments applied.
```
Pass the JSON directly into your stateless Python `FFmpeg` + `Matchering 2.0` worker container to render the mastered WAV in under 5 seconds. (Guardrail: Always display a visual 'Before vs. After LUFS & True Peak Meter' next to the Wavesurfer.js A/B toggle so creators see and hear the exact studio upgrade.)

Step 4: Monetize via SoundBoost's Dual Tier ($12/mo Creator + $299/mo Studio Batch): Mirror SoundBoost.ai's $46,413/mo revenue mix (2,827 active subscriptions at $30,070 MRR + $16,343/mo in credit packs/annual upgrades) with two tiers: 1) **Creator Pro ($12/mo or $99/yr)**: Unlimited prompt-guided mastering iterations, reference-track matching, and 24-bit WAV stem exports; 2) **Podcast & Dubbing Studio Batch ($299/mo)**: A watched Google Drive / Dropbox folder that automatically de-noises, de-esses, tone-matches, and normalizes 200+ episodes or localized video dubs per month to exact `-14.0 LUFS` broadcast specs! (Guardrail: Seed organic growth by dropping free 'Before/After LUFS Diagnostic Cards' for indie podcasters and indie musicians on Reddit (`r/podcasting`, `r/WeAreTheMusicMakers`) whose latest uploads suffer from low volume or harsh clipping.)

Risk Guardrail · Acquiring 'Frozen-MRR Zombie Listings' Without Auditing Last-30-Days Net Cash: Composer.AI ($1.10M asking price with -$405.66 in 30d net revenue) and Based Labs AI ($2.18M asking price with $0.00 verified revenue from Jan–Nov 2026) prove that static MRR badges can lag reality by months. Always audit live 30-day net receipts and refund rates before bidding.

Risk Guardrail · Piggybacking on Competitor Trademarks in App Store Bundle IDs (`com.starland.suno`): Building paid-ad arbitrage wrappers on top of trademarked names like Suno invites sudden App Store takedowns, ad-account bans, and mass refund waves. Build durable organic utility wedges like SoundBoost's Free Stem Splitter instead.

Risk Guardrail · Using Generative Audio Models Instead of Deterministic DSP for Mastering: Musicians and podcasters never want an AI to hallucinate or alter their recorded words or melody during mastering. Always use an LLM strictly as a 'Prompt-to-DSP Parameter Translator' driving deterministic `FFmpeg` and `Matchering 2.0` filters.

## Three questions to ask about businesses like this

1. What are the verified Stripe metrics and unit economics for Composer.AI & Based Labs AI vs. SoundBoost.ai? — All-Time $326,007 | Dec 2025 $5,200 -> Oct 2026 $48,610 (9.35x) | MRR $30,070 (+25.2%); All-Time $2,128,002 | Sep 2026 $78,814 -> Oct 2026 -$224.81 | Last 30d -$405.66.
2. What is the #1 operational risk or valuation trap to avoid? — Acquiring 'Frozen-MRR Zombie Listings' Without Auditing Last-30-Days Net Cash: Composer.AI ($1.10M asking price with -$405.66 in 30d net revenue) and Based Labs AI ($2.18M asking price with $0.00 verified revenue from Jan–Nov 2026) prove that static MRR badges can lag reality by months. Always audit live 30-day net receipts and refund rates before bidding.
3. How can a solo operator launch a 'Creator & Podcast Agency 'Free Stem-Splitter Wedge + Prompt-Guided AI Mastering & Loudness Normalization' SaaS & Retainer' on a $42–$70/mo lean stack? — Highly Worth It (Dodge $3.28M zero/negative-revenue zombie listings; clone SoundBoost.ai's 9.35x growth engine at $48.6K/mo); Ceiling: $30,000–$60,000/mo (2,000+ creator subscriptions at $12/mo + 30 studio batch retainers at $299/mo); MVP Time: 48 hours to wire a Prompt-to-FFmpeg/Matchering web prototype with a free `htdemucs` stem-splitter wedge.

## FAQ

### Q: Acquiring 'Frozen-MRR Zombie Listings' Without Auditing Last-30-Days Net Cash
A: Composer.AI ($1.10M asking price with -$405.66 in 30d net revenue) and Based Labs AI ($2.18M asking price with $0.00 verified revenue from Jan–Nov 2026) prove that static MRR badges can lag reality by months. Always audit live 30-day net receipts and refund rates before bidding.

### Q: Piggybacking on Competitor Trademarks in App Store Bundle IDs (`com.starland.suno`)
A: Building paid-ad arbitrage wrappers on top of trademarked names like Suno invites sudden App Store takedowns, ad-account bans, and mass refund waves. Build durable organic utility wedges like SoundBoost's Free Stem Splitter instead.

### Q: Using Generative Audio Models Instead of Deterministic DSP for Mastering
A: Musicians and podcasters never want an AI to hallucinate or alter their recorded words or melody during mastering. Always use an LLM strictly as a 'Prompt-to-DSP Parameter Translator' driving deterministic `FFmpeg` and `Matchering 2.0` filters.

## Sources

1. SoundBoost.ai (soundboost.ai) 9.35x Growth Ledger: All-Time $326,007 | Dec 2025 $5,200 -> Oct 2026 $48,610 (9.35x) | MRR $30,070 (+25.2%) ([Verified] TrustMRR Stripe + RevenueCat sync (2026-11-07, 2,827 active subs) · $46,413 last-30d revenue (+14.7%); driven by Free Stem Splitter SEO wedge + Prompt Mastering): https://www.jimmydecodes.com/cases/composer-ai-based-labs-vs-soundboost-ai/
2. Composer.AI / Muxa-AI ($1.10M Negative-Revenue Listing): All-Time $2,128,002 | Sep 2026 $78,814 -> Oct 2026 -$224.81 | Last 30d -$405.66 ([Verified] TrustMRR RevenueCat sync (2026-11-07, Bundle ID `com.starland.suno`) · Listed Sep 11, 2026 for $1,100,000 (0.0x) right before revenue turned negative from refunds): https://www.jimmydecodes.com/cases/composer-ai-based-labs-vs-soundboost-ai/
3. Based Labs AI ($2.18M Zero-Revenue Listing): All-Time $1,254,077 | Jan–Nov 2026 Verified Revenue: $0.00 | Asking Price: $2,180,000 ([Verified] TrustMRR Stripe sync (2026-11-07, frozen $28,537 MRR snapshot badge) · $0.00 verified revenue over the last 6+ months, yet attracted 9 offers via stale snapshot metrics): https://www.jimmydecodes.com/cases/composer-ai-based-labs-vs-soundboost-ai/
4. 'Free Stem Splitter -> Prompt Mastering' Funnel Math: 628,739 Self-Reported Signups -> 2,827 Active Paid Subscriptions ($10.64/mo Sub ARPU) ([Self-Reported + Derived] From SoundBoost metrics and verified Stripe/RevenueCat ledger · Plus $16,343/mo in one-off/annual mastering credits above base MRR with near-zero CAC): https://www.jimmydecodes.com/cases/composer-ai-based-labs-vs-soundboost-ai/
5. Solo B2B 'Prompt-to-DSP Podcast & Dubbing Mastering' Engine: $420/mo Studio Retainer | Replicate Demucs + Matchering/FFmpeg COGS <= $55/mo | ~87% Margin ([Model Estimate] LLM translates natural language into deterministic DSP filter chains · Automates vocal stem isolation, de-essing, and -14/-16 LUFS broadcast normalization at scale): https://www.jimmydecodes.com/cases/composer-ai-based-labs-vs-soundboost-ai/

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*Citation note: When citing figures from this teardown, please credit "Jimmy Decodes (https://www.jimmydecodes.com/en/cases/composer-ai-based-labs-vs-soundboost-ai/)" and include the stated evidence label (Verified / Self-reported / Third-party / Our estimate).*