SSX Silicon 1: A Real 32-Bit Computer Processor Running Inside Google Sheets (https://github.com/Saminsami73/SSX-Silicon-1_-_A-CPU-that-runs-inside-Google-Sheets)
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! (https://github.com/Saminsami73/SSX-Silicon-1_-_A-CPU-that-runs-inside-Google-Sheets)
Inside the repo (https://github.com/Saminsami73/SSX-Silicon-1_-_A-CPU-that-runs-inside-Google-Sheets), 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
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Small win today! 🚀
I successfully built an automated cold outreach workflow using n8n and a custom SMTP email account hosted on cPanel.
The workflow automatically:
✅ Reads leads from Google Sheets
✅ Processes each contact one by one
✅ Applies custom logic and filtering
✅ Sends personalized outreach emails through SMTP
✅ Tracks successful deliveries
After a few configuration challenges with email authentication and SMTP settings, everything is now running smoothly.
It's always satisfying to turn a manual process into a fully automated workflow that saves hours of repetitive work.
Automation isn't just about sending emails—it's about creating systems that allow businesses to focus on building relationships instead of repetitive tasks.
#n8n #Automation #EmailMarketing #WorkflowAutomation #BusinessAutomation #GoogleSheets #SMTP #NoCode #TechSolutions #AttoExaSolutions
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I prepared the full-year 2025 Profit & Loss statement (January to December) for a small business with multiple income streams, turning raw transactions into a clear report the owner could use to understand profitability.
Scope of work:
Set up income categories to separate product sales, service revenue, and other income
Structured Cost of Sales (product purchases, subcontractors, supplies and materials) so gross profit was accurate
Categorized operating expenses, including marketing, bank charges, commissions and fees, subscriptions, insurance, rent, utilities, travel, vehicle costs, and web hosting
Split interest expense by source (credit card and bank loan) and grouped legal and accounting fees under professional fees
Recorded depreciation on the company vehicle so net earnings reflected true costs
Reconciled the P&L with the balance sheet so the two statements agree
Result
The owner received a clean, well-organized report showing revenue, gross profit, expenses, and net earnings. It made it easy to see where money was coming from and where it was going, and it was ready for tax preparation, loan applications, and budgeting.
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How to Turn Raw, Messy Data Into Powerful Business Insights 📊
If you are spending hours wrestling with complex spreadsheets, it’s time for a system upgrade. How do you bridge the gap between heavy data entry and strategic decision-making? By moving from static files to interactive, automated reporting.
At DataTale Studio, I specialize in transforming fragmented data into dynamic Excel dashboards that drive real business results.
The Transformation Process:
The Input: I take your raw data and build a robust backend using clean structures, complex formulas, and advanced DAX.
The Output: You receive a modern, clean dashboard featuring custom charts, advanced pivot tables, and vibrant data visualization.
Why collaborate with DataTale Studio?
Actionable Insights: Replace confusing rows of numbers with clear, visual metrics.
Dynamic Reporting: Interact directly with your data to spot trends instantly.
Satisfaction Guaranteed: I offer unlimited revisions to ensure your custom dashboard perfectly fits your workflow.
Stop guessing and start analyzing. If you are ready to streamline your business reporting, let's get to work. Send an inquiry today to discuss your custom data visualization project! ⚙️
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I will build eCommerce Order Processing - AI Agent + Sheets + Gmail + Telegram
Complete eCommerce automation: New Shopify order triggers n8n, AI Agent checks stock from Google Sheets, creates invoice, sends Gmail confirmation, and sends Telegram update to admin. If stock low, auto-notify supplier.
End-to-end order handling without manual work.
Tools: n8n, AI Agent, Google Sheets, Gmail, Telegram, Shopify API
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FREE: My 5-Step Factory Audit Checklist (Used for $18K EU Shipment)
I am giving away my personal checklist for FREE — the same checklist I used to save $4,200 for an EU buyer last week:
Material Check (Leather vs Split Leather)
Stitching QC (12% defects check)
Sole Bonding Test (Pull-off test)
Size Set Approval (EU 43 = 43?)
Final AQL (AQL 2.5)
Comment "CHECKLIST" or DM me — I will send you the PDF + 5-min Loom video how I use it.
I have 24+ Years in Bangladesh Footwear — Ex Apex & Concord Merchandising — Now helping EU/USA brands avoid bad shipments.
#factoryaudit #qualitycontrol #bangladeshfactory #footwear #sourcing #freebie #checklist
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Your Google Ads is driving leads…
but are you tracking what happens after the click?
Most businesses miss offline conversions.
And that means… incomplete data and wrong optimization.
I set up and fix Google Ads offline conversion tracking using:
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So every lead, sale, or call is properly tracked and sent back to Google Ads.
No more guessing.
Just clean data and smarter scaling.
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In this project, I built a high-quality list of business leads to help with sales and marketing. I focused on finding accurate company information and the right people to contact.
My Work Included:
Company Research: Finding target companies and their official websites.
Contact Details: Collecting names and titles of Owners, CEOs, and Managers.
Verified Emails: Providing 100% valid email addresses and phone numbers.
Data Organization: Saving all information (Address, Zip Code, etc.) in a clean spreadsheet.
My goal was to provide a ready-to-use list that helps businesses reach their customers easily.
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Technical Proposal | UNICEF (GenU Bangladesh) — Passport to Earning (P2E)
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