Opportunities › Operations software for artisanal D2C micro-businesses › Proposed app
Benchlog
Orders, stock and batches in one place for makers who sell direct
- Score
- 42
- confidence 42
- Evidence
- 1
- items on the page
- Rivals
- 0
- named in sources
- First version
- 35 d
- estimate
- Type
- Desktop and mobile
- PWA: on computers and phones alike
- Market since
- 2006
- Mature market · AI estimate
ScreensConcept
Desktop and mobile: Makers plan production and review detailed batch logs at a desk, but also need to log batches and check stock in real time from their workshop bench on a phone. Sample screens on a computer and a phone, in the proposed brand. Their numbers are sample data.
Today
3 to make7 orders
About this appAI proposal
Benchlog is a small operations app for people who make things and sell them directly: candles, ceramics, soap, leather, print. It keeps orders, materials, batches and shipping in one view, so you stop juggling spreadsheets, inboxes and a stock tracker.
It follows how makers work. Log a batch and the materials used come off stock. When an order arrives, the app shows whether finished goods cover it or you need to make more. Pack lists and shipping status sit on the same screen.
Your data stays yours. Export everything at any time, or run it on your own server. Pricing is meant to be flat and sized for micro-business margins.
- Tagline
- The workbench ledger for makers who sell direct.
- Voice
- PracticalWarmPlain
- Why this name
- A bench is where makers work and a log is the record they keep. Two plain words joined, easy to say and spell.
In the first version
Members say which features they would use. It tells PWAS what people want; it changes no score.
Orders from every channel
Bring in orders from your shop, markets and messages. See them in one queue with status, items and due dates.
No member yet
Batch and materials tracking
Record what you made and what went in. Raw materials drop automatically and low stock is flagged early.
No member yet
Make-or-ship view
Each order shows whether finished stock covers it. If not, it suggests the batch to make and materials needed.
No member yet
Pack lists and shipping status
Print a pack list, mark parcels sent, add tracking and keep a clear record of what has gone out.
No member yet
Brand identityAI proposal
Check the name against trademark registers before using it.
Palette
#B5532FKiln Clay · primary#FAF4E8Flax · surface#2B2118Walnut · text#4F6B3AMoss · accent#D9A441Ochre · data
Typography
Aa
Benchlog
ABCDEFGHIJKLMNOPQRSTUVWXYZ 0123456789
The workbench ledger for makers who sell direct.
PricingAI proposal
The material gives no competitor prices. These tiers are a starting point to test against the self-hosted, flat-price idea in the opportunity.
Self-host
Free
- Open-source core
- Orders, stock, batches
- CSV export
- Community support
Maker
$12 a month
- Hosted and backed up
- Orders, stock, batches, costs
- Pack lists and tracking
- Email support
Studio
$29 a month
- Everything in Maker
- Up to 5 team members
- Multiple sales channels
- Priority support
Would you pay Maker · $12 a month?
Your answer tells PWAS which prices people accept. It changes no score.
No answers yet.
What it could be worthEstimate
What a software business making this much sells for today, from real deals. Pick a monthly revenue.
If it makes
Worth about
$194,000
Sale range $132,000 to $263,000
$120,000 a year in revenue
From 87 software businesses listed and sold on Empire Flippers in the last year, revenue vetted by the broker: they sell for about 19× their monthly revenue, most between 13× and 26×.
Measured on profit, the middle deal is 32× monthly net profit: about 2.7 years of profit.
An estimate, not an offer or financial advice. A real price depends on profit, growth, churn, how much of the work is the owner's, and the buyer.
How it would growAI proposal
How the product would reach new customers through its own use, and how the first ones would be found. A plan to test, not a result.
- Built-in loop
- No loop in the product. Reached through content, maker communities and search. Pack lists and order emails could carry a small Benchlog mention, but this is not the main loop.
- Do they become customers?
- Recipients of parcels are buyers, not makers, so few would become customers. Test whether makers adopt through community posts and self-hosting guides.
- First customers
- Solo candle, soap and ceramics makers selling online with 20 to 200 orders a month who track stock in spreadsheets.
- Where to reach them
- Maker forums and groups: Share batch-costing templates and a short demo, then invite makers to try the app.
- Open-source repository: Publish the self-host core with a setup guide and collect hosted-plan waitlist sign-ups.
- Craft fair organisers: Offer a workshop on stock and costing to makers who sell at markets.
- First milestone
- Ten makers in one craft category use it weekly for a month, and five pay for the hosted Maker plan.
Why people already pay for this
- VerifiedGitHub repository gained 1151 stars in 656 days
Tech stack
Every proposal builds on the same PWA base, installable from the browser on any phone or computer. Dashed boxes are what this app adds.
- AppNext.js and TypeScript
- PWAManifest and service worker
- UITailwind CSS
- Data and authSupabase Postgres
- PaymentsStripe
- EmailResend
- HostingVercel
- This app · Offline syncLocal-first storage in the browserStock counts and batch notes at the bench need to work without signal.
- This app · Shop order importWebhook and CSV import connectorsOrders arrive from existing shop platforms and must flow in.
RisksAI inference
- CommercialMakers may not pay for software when spreadsheets work. Free self-hosting may bring users who never convert to the hosted tiers.
- TechnicalSupporting both hosted and self-hosted versions doubles the upgrade, migration and support work for a small team.
- PlatformOrder import depends on shop platforms' APIs and webhooks, which can change or restrict access.
- CommercialThe only verified signal is GitHub interest in a repository; it does not show that makers will pay.
Everything marked AI proposal or AI inference was written by a model from the evidence on the opportunity page. The proposed name must be checked against trademark registers before it is used.