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Already know your cleaning rates and costs, but need help setting up the quote workbook in Excel?
ClearCostTools offers technical setup of its existing commercial-cleaning workbook for one business and one facility example, using your approved inputs. Includes formula and unit checks, a handover, one consolidated revision and seven days of setup questions within scope.
Start with one redacted example, the result you expect, and your desktop Excel version and operating system. I’ll confirm fit, scope, price and delivery before work begins.
View the service and message me here:
https://contra.com/s/vOLr2L7Y-set-up-your-cleaning-quote-workbook-with-your-own-numbers
Portfolio demonstrations use fictional data; they are not client results.
contra.com
Set up your cleaning quote workbook with your own numbers by ClearCost Tools
Read more about Set up your cleaning quote workbook with your own numbers by ClearCost Tools on Contra.
The network for creativity
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Clearing is an app for small online stores. It reads the night's orders, refunds and ads, and has one page ready for the owner in the morning.
I designed and built the landing page in code. One line pattern runs through all of it: the hero, the charts, the phone screen and a glowing report in the middle of the page.
Concept work. Clearing is a made-up brand.
Carrying one line pattern from the hero through the charts and the phone screen makes the whole page feel connected. Fits a product that turns messy data into one clean page.
Small-business tip: put an instant price estimate on your website.
If you run a cleaning, repair or similar service, many visitors leave because they can't tell if you fit their budget, and asking for a quote feels like a commitment.
I built a concept to show the idea: FreshNest, a made-up home cleaning company. You pick the type of cleaning, home size, bathrooms, extras and how often, and the estimate updates as you go. Then you copy or email the request in one tap.
One detail I'd keep on any real version: a clear note that it's an estimate and the final price is confirmed before the job starts.
Try it: https://me.aleex.workers.dev/work/freshnest/
If you'd like one for your business, websites start from $150.
#SmallBusiness #WebDesign
An upfront estimate helps.
Most people open Google Sheets to handle monthly budgets, invoices, or attendance logs. I wanted to see if spreadsheet cells could work as an actual computer chip. That led to SSX Silicon 1, a working 32-bit computer processor built inside a single Google Sheets workbook. It runs with 32 registers, a 16-kilobyte memory space, 36 instructions, and a 32 by 32 pixel color display. The sheet does not use pre-recorded animations, placeholder numbers, or external file links. Every calculation runs through a five-stage pipeline: fetch, decode, execute, memory access, and writeback.
You can run the processor in two ways. With Google Sheets iterative calculation turned on, toggling a manual clock cell advances the machine cycle by cycle using native circular formulas. For continuous execution, an embedded Google Apps Script V8 engine powers interactive buttons and a custom top menu, running programs at hundreds of instructions per second. The 32-bit arithmetic logic unit handles numbers up to 4.29 billion across 36 instructions, covering arithmetic, division, bit shifting, logic gates, and subroutine branching. It also tracks four hardware status flags on every cycle: Zero, Carry, Sign, and Overflow.
The memory layout organizes a self-contained 16-kilobyte address space across dedicated sheets. This includes 4,096 words of program ROM, 4,096 words of read-and-write data RAM, system I/O registers, and a stack region starting at address 0x3FFF. Thirty-two registers handle active computation: R0 stays fixed at zero, R1 through R27 store math and variables, and R28 through R31 serve as pointers for the frame, stack, return address, and program counter. A dedicated video RAM block at 0x2400 maps directly to a 32 by 32 grid of 1,024 cells, using conditional formatting and a 16-color RGB palette to draw borders, crosshairs, and pixel graphics. I also wrote a Python two-pass assembler that turns human-readable .ssx assembly code into spreadsheet-ready CSV tables, along with interactive HTML architecture diagrams built with Archify.
To make sure the CPU calculates accurately, I tested every instruction against a Python reference emulator across five benchmark programs. The hardware self-test verifies all 32 arithmetic operations, memory reads, and stack frames in 77 cycles, leaving the golden signature 0xCAFEBABE in register R1. A 32-bit Fibonacci program generates 47 terms in RAM up to 1,836,311,903 without rounding or overflow. A prime number sieve finds all 25 primes under 100 using memory arrays, an integer matrix program calculates a 3x3 matrix product, and a graphics routine draws a multicolored geometric crest across 232 lit pixels. The project includes five PDF documents: an academic research paper, an instruction set manual, a microarchitecture specification, a verification report, and a beginner guide. Everything runs in a standard web browser.
For anyone who wants to open the processor in Google Sheets, check out the Python compiler, or read the manuals (including the step-by-step Beginner Guidebook and Research Paper), the full open-source release is available on my GitHub!
Inside the repo, you will find:
The ready-to-import Google Sheets CPU workbook (.xlsx)
The Python assembler & bit-exact reference emulator
Interactive HTML architecture & pipeline diagrams
All 5 PDF manuals and the 5 sample assembly programs
