0
BU Score
Niche
Bidding Jobs
✍️ bumetric analysis
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Bidding Jobs is an iOS app from H3 Apps, LLC in the Business category, currently rated — across few ratings. Initial signal reads as no scraped reviews yet: judgment based on metadata only.
Our BU Score puts it at 0: Niche (micro-niche or pre-traction stage). For a Business app, that means micro-niche or pre-traction stage.
Track changes month-over-month in the Performance section below: live snapshot history and revenue forecast included.
📊 Performance Tracking LIVE
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Rating
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Reviews
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Forecast Revenue / mo
—
Snapshots tracked
0
since first record
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.
📈 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.
App Specs
🔐 Own this app? Claim & verify MRR →💾 13 MB🔞 4+📱 iOS 9.3+🔖 v1.0.4🔄 updated 6y ago🌐 EN, ZH, ES📂 Business💰 Paid🚀 Launched 2017 (8y old)
📝 About this app
This App helps you make better job bids.
When bidding on jobs against competitors, making a high bid yields more profit but decreases the likelihood your bid will win. A low bid yields less profit but increases your chance of winning the job.
Somewhere in the middle is the optimal bid that gives you the best chance of winning the job contract while making a nice profit.
Using the power of Monte Carlo Simulation this App considers the uncertainty around the number of bidders and their bid proposals in determining the bid you should make that maximizes your expected profit.
When bidding on jobs against competitors, making a high bid yields more profit but decreases the likelihood your bid will win. A low bid yields less profit but increases your chance of winning the job.
Somewhere in the middle is the optimal bid that gives you the best chance of winning the job contract while making a nice profit.
Using the power of Monte Carlo Simulation this App considers the uncertainty around the number of bidders and their bid proposals in determining the bid you should make that maximizes your expected profit.
🆕 What's New · v1.0.4
Updated to handle Dark Mode
Profile & Insights
Everything we know — and don't — about this app and its company.
Identification
- App name
- Bidding Jobs
- Developer
- H3 Apps, LLC
- Bundle ID
- com.h3apps.BiddingJobs
- App Store URL
- Open in App Store
- Category
- Business
- Content rating
- 4+
- Languages
- EN, ZH, ES
Company
- Website
- h3apps.com
- Tagline
- Not found
- 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
- $86/mo
- Top-grossing rank
- Outside top 100 in US Business
- All-time revenue
- Not found
- Pricing
- Not found
Founder
- Name
- Not found
- X / Twitter
- Not found
- Not found
- GitHub
- Not found
- X followers
- Not found
- Public statements
- Not found
Funding
- Total raised
- Not found
- Last round
- Not found
- Investors
- Not found
- Crunchbase
- Not found
- AngelList
- Not found
Press & Links
- Articles found
- Not found
- Listed on
- Not found
- Blog
- Not found
- Press / News
- Not found
Contacts & Socials
- Socials
- Not found
- Not found
- Phone
- Not found
- Contact page
- Not found
- About page
- Not found
🌍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.
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.
Full revenue analysis
Read the article-style breakdown for Bidding Jobs: category rank, percentile, growth signal, comparable apps, and how the forecast is calibrated against verified-MRR anchors in this niche.