LatentChat - Assistant LLM
54
Quality Score
Solid
LatentChat - Assistant LLM
Low confidence
✍️ bumetric analysis
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LatentChat - Assistant LLM is an iOS app from Emanuele Delirio in the Productivity category, currently rated 3.7★ across 26 ratings. Initial signal reads as mixed reviews: supporters praise core features while critics cite stability and value gaps.
Quality Score is 54: Solid (established niche player). For a Productivity app, that means established niche player. The full BU Investment Matrix below scores 8 dimensions including monetisation, growth, and operational risk.
Track changes month-over-month in the Performance section below: live snapshot history and revenue forecast included.
💰 Monthly revenue · now vs forecast
● Right now
$200
per month
→
12-mo forecast
$100 – $931
per month
→
24-mo forecast
$100 – $2790
per month
MICRO tier
💡 Grow this revenue
Free AI audit of this app’s store listing
- Title & subtitle keyword fit
- Description hook & conversion structure
- Screenshots, ratings, reviews strategy
Typical impact: +2-5× organic installs
📊 Performance Tracking LIVE
Loading…
Rating
—
Reviews
—
Forecast Revenue / mo
—
Snapshots tracked
0
since first record
ONE-TIME · BUILD
💰 Estimated build cost
$90K
↳ What it cost to build · not monthly revenue
Likely range $70K – $120K
$25K · MVP floor
$100K · indie scale
$500K+ · studio build
📈
Pays back in ~5 months at current MRR
Synthetic estimate. Inputs: category complexity, file size, screen count, monetization layer, platform reach, age × team-size proxy. Calibrated against 2024-2026 indie-agency rate surveys. Full math + source list on /methodology.
Where the money goes
| 🧱 MVP baseline (design + 1-store ship) | +$28K |
| 📱 5 unique screens × $4.5K | +$22K |
| 📦 Asset bundle (125 MB) | +$29K |
| ⚙ Productivity complexity ×1.10 | +$8K |
Total estimate
$90K
ONE-TIME · EXIT VALUE
💵 Estimated acquisition value
$225K
↳ What it would sell for · not monthly revenue
Marketplace range $175K – $300K · 14× MRR multiple
💸
~2.5× return on build cost
Synthetic estimate. Multiple band derived from ad-supported + age, rating quality, category demand, and user-base maturity. Calibrated against 2024-2026 indie-app-marketplace closed-deal medians. Full math + comparable deal list on /methodology.
How the multiple was built
| 📺 Ad-supported base | 15× MRR |
| ⭐ ★ rating 3.5-4.0 (mixed) | -8% |
| 🏷 Productivity category multiple | +8% |
| ⭐ Small user base (<1K ratings) | -8% |
Final multiple
14× MRR
🔬
How we forecast this revenue
LOW CONFIDENCEBaseline
$200/mo · ML-estimated from 234 triggers
Growth rate
+8.0% MoM · MICRO tier baseline (compound monthly)
Direction
Headwinds: rating drift may slow acquisition
6 months
$127 – $508
12 months
$100 – $931
24 months
$100 – $2.8K
Compound growth at +8.0% MoM (tier baseline for MICRO). Range widens with horizon — typical noise band ±60% at 6mo.. Ranges widen with horizon — distant futures carry more uncertainty.
📊
BU Investment Matrix
Insufficient data · 39/100MICRO TIERtoo early to scoreRevenue Strength
2.3
Product Quality
3.0
Market Position
0.0
Growth Velocity
5.0
Defensibility
3.9
Operational Safety
10.0
Founder Strength
5.6
Monetization Maturity
1.0
- 💰 Revenue: Marginal — $0 - $500/mo · MICRO tier · indicative confidence, trajectory unclear.
- ⭐ Quality: 3.73★ across 26 reviews — weak — significant quality concerns.
- 📍 Market: Not yet charting in any of the 9 monitored markets.
- 📈 Growth: dev shipping weekly.
- ⚠️ Risk: Low — no material risk signals detected.
🎯 For competitors: Mixed picture. Worth competing if you have a clear UX or pricing edge — otherwise crowded segment.
💵 For acquirers: Estimated asking range 18-32× monthly = $3K-$6K. Portfolio play ($41K/mo combined) commands premium.
Composite of 8 dimensions computed deterministically from public signals — no LLM, every score traces back to a measurable input. Default weights shown; "compete" / "acquire" / "invest" lenses re-weight without re-fetching.
Range:
💰 Forecast Revenue / mo
MODELRevenue forecast computed from BU's 234 trigger model on each snapshot. Calibrated against ground-truth from 58 verified-revenue apps.
🔬Forecast Breakdown — Why This Estimate?Top 6 of 6 triggers
Our ML model uses 200+ signals from public data. These are the most influential for this app:
| Paid app ($0.00)METRIC | +$2,800 | |
| excellent appREVIEW | +$1,500 | |
| highly recommendREVIEW | +$1,400 | |
| Single-language (English only)METRIC | −$400 | |
| Pre-traction phase (26 ratings)METRIC | −$300 | |
| Growing app (1y old)METRIC | +$200 |
METRIC = structural app data · REVIEW = mined from user reviews · ✓ VERIFIED = Stripe-verified anchor (TrustMRR)
📈 Reviews Growth
LIVECumulative review count from first BU snapshot. Each point = a tracked update.
⭐ Rating Trend
LIVEAverage rating evolution. Updates with each new review batch.
🆕 What's New · v1.10.1
Fixed dropdown menus that were not persistent on iPad.
Profile & Insights
Everything we know — and don't — about this app and its company.
Identification
- App name
- LatentChat - Assistant LLM
- Developer
- Emanuele Delirio
- Bundle ID
- com.local.chatto
- App Store URL
- Open in App Store
- Category
- Productivity
- Content rating
- 17+
- Languages
- EN
Company
- Website
- Not found
- Tagline
- Latent Lake
- Description
- Not found
- Founded
- Not found
- HQ / Address
- Not found
- Employees
- Not found
- Logo
- Not found
Revenue
- Verified revenue / mo
- Not found
- AI revenue estimate / mo
- Not found
- AI annual estimate
- Not found
- ML model estimate / mo
- $16.8K/mo
- Top-grossing rank
- Outside top 100 in US Productivity
- All-time revenue
- Not found
- Pricing
- Not found
Founder
Founder data not yet collected for this app.
Funding
Funding data not yet collected for this app.
Press & Links
Press & Links data not yet collected for this app.
Contacts & Socials
Contacts & Socials data not yet collected for this app.
⭐Recent App Store Reviews15 latest · avg 3.33★ · 46.7% 5★ · 33.3% 1★
5★7 (47%)
4★1 (7%)
3★2 (13%)
2★0 (0%)
1★5 (33%)
+0 ratings/week
Praise: great ×6 recommend ×2 perfect ×2 best ×1 excellent ×1Complaints: crash ×2 broken ×2 refund ×1 bug ×1
Top positive
★★★★★ Almost Perfect⭐️⭐️⭐️⭐️⭐️
This app loads faster and smoother than other local LLM’s. It does almost everything a cloud based AI can do and the developer is open to improvements. This is the only on device AI (at this time) that uses RAG with easy implementation and …
★★★★★ Basic but works consistently.
Still pretty basic feature set but it’s works fluidly and having it perform as expected is worth the money over other alternatives that seem to still be working out the kinks.…
Top negative
★☆☆☆☆ Horrible. Worthless.
I just wasted 4.99…
★☆☆☆☆ Avoid this and look elsewhere.
I regret spending a single dollar on Latent Chat. The platform constantly crashes, and none of the models work reliably. Most bots are broken or give errors, and you can’t upload or use your own models – which makes it super limited compare…
📈Ratings growth26 ratings+767% lifetimeShow 3-year history estimate ▾
Tracked (18 weeks) Pre-tracking estimate (20 weeks) · model-based, ±5% noise · anchored to release date and current value
🌍Geographic ReachNot ranked
This app is currently outside the top 100 grossing in all 9 countries we monitor (US, UK, DE, FR, JP, CA, AU, BR, IN). Niche or new apps often launch this way — popularity rankings appear once daily revenue clears the regional threshold.
💰Pricing History$0.00 → $4.99 (+0%)
🚀Version Release Timeline2 releases tracked
Profile is built from iTunes Lookup + developer site scrape + ML revenue model. Empty fields show "Not found" — additional sources (Crunchbase, X, IndieHackers, Acquire.com) coming.
📝 About this app
Try different generative language models with LatentChat, a fully offline, on-device private AI chatbot.
LatentChat is ready to use right out of the box. Ask questions, brainstorm, reason, transcribe speech, add your own models and create with your customized chat companion from anywhere, even without an internet connection.
- Local chat
Try models like Llama, Gemma, Qwen and Mistral or use your own local LLMs by selecting your preferred open-source language models stored on your device. Reasoning models are supported, too.
- Remote chat… View full description on the official store →
LatentChat is ready to use right out of the box. Ask questions, brainstorm, reason, transcribe speech, add your own models and create with your customized chat companion from anywhere, even without an internet connection.
- Local chat
Try models like Llama, Gemma, Qwen and Mistral or use your own local LLMs by selecting your preferred open-source language models stored on your device. Reasoning models are supported, too.
- Remote chat… View full description on the official store →
App Specs
🔐 Own this app? Claim & verify MRR →💾 125 MB🔞 17+📱 iOS 16.6+🔖 v1.10.1🔄 updated 0d ago🌐 EN📂 Productivity💰 Paid
📅
What Worked™ · Development Pipeline
8 EVENTS TRACKEDDetected changes in this app over its tracked lifetime — each event links cause (what changed) to effect (what moved). Sorted newest first.See full history →Version history →
2026-05
⭐
Rating ↓ 5.00 → 3.73 (dropped 1.27★)
2026-05
💲
Went paid — introduced $4.99 price point
2026-03
⭐
Rating ↑ 3.33 → 5.00 (improved 1.67★)
2025-06
📈
Crossed 10 ratings — social-proof flywheel kicking in
2025-05
⭐
Rating ↓ 4.13 → 3.78 (dropped 0.35★)
2025-04
⭐
Rating ↓ 4.57 → 4.13 (dropped 0.44★)
2025-03
⭐
Rating ↓ 5.00 → 4.67 (dropped 0.33★)
2024-12
🚀
First tracked snapshot — initial data captured
🔔
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📝 Description
95
BU Score · Transcendent
More by Emanuele Delirio
View all →📦 Portfolio summaryINDIE studio
2apps·$41K/mocombined
Lead-app heavy — top app contributes 59%
Similar apps in Productivity
About this analysis
Why low confidence: only 26 ratings · no founder-verified revenue (model estimate only) · revenue figure is directional only.
📌 Final verdict — read this before you trust the numbers above
LatentChat - Assistant LLM is a small / niche iOS app in the productivity space with weak public traction — only 26 ratings, no founder-verified MRR, and not ranked in any monitored grossing chart. The app appears to be monetised, but public signals are too sparse for a precise revenue estimate.
Bottom line: treat all revenue, audience and acquisition-value numbers on this page as directional only — not founder-verified facts.
❓ Frequently Asked Questions
4 answers · auto-generated from this app's public dataHow much does LatentChat - Assistant LLM make per month?▴
Our model estimates LatentChat - Assistant LLM earns roughly $16K/mo, but with only 26 ratings the confidence interval is wide. No founder-verified MRR is available for this app, so this is a model output calibrated against comparable apps in the same category. See methodology for the formula.
What apps are like LatentChat - Assistant LLM?▴
Browse the full Productivity category catalog to find similar apps with revenue, build cost, audience and tech stack data. Each /p/{slug} page also shows a Compare side-by-side widget with three peer apps from the same niche.
Who makes LatentChat - Assistant LLM?▴
LatentChat - Assistant LLM is published by Emanuele Delirio on the Apple App Store. See the full publisher portfolio (other apps by the same developer) via the More by developer block on the product page above.
What is LatentChat - Assistant LLM's BU Score?▴
LatentChat - Assistant LLM has a BU Score of 54/100 (Solid). The score combines App Store rating, ratings count, monetization model and revenue signals calibrated against founder-verified MRR anchors. See the BU Score formula.