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Manuel Navarro's avatar
Manuel Navarro
proSanta Cruz de Tenerife, Spain
AI Video Creator | Automations Engineer | AI SaaS Developer
$50k+
Earned
14x
Hired
5.0
Rating
408
Followers
TOP_INDEPENDENT

Top

LOVABLE_EXPERT

Expert

AI Video Creator | Automations Engineer | AI SaaS Developer
Cover image for BigQuery Database Creation and Automation
BigQuery Database Creation and Automation
4
152
Cover image for AI-Driven Social Media Content Pipeline
AI-Driven Social Media Content Pipeline
15
451
Cover image for SaaS Development Replit
SaaS Development Replit
12
688
Cover image for Automated n8n Workflow for Data Management
Automated n8n Workflow for Data Management
7
383
Google BigQuery(1)
Toolshed (Data, Automation, AI Agents, Buildship, Framer)'s avatar
Toolshed (Data, Automation, AI Agents, Buildship, Framer)
maxLahore, Pakistan
Data, Automation, AI Agents, Buildship, Framer, Bubble
$100k+
Earned
7x
Hired
5.0
Rating
72
Followers
TOP_INDEPENDENT

Top

FRAMER_EXPERT

expert

+1
Data, Automation, AI Agents, Buildship, Framer, Bubble
Cover image for Construction FP&A & Revenue AI Platform
Construction FP&A & Revenue AI Platform
6
312
Cover image for Luxury Framer Architecture Portfolio
Luxury Framer Architecture Portfolio
1
24
Cover image for Automated Weather Monitoring with BuildShip & Supabase
Automated Weather Monitoring with BuildShip & Supabase
0
2
Cover image for BuildShip AI Automation & Internal Tool for Job Analysis
BuildShip AI Automation & Internal Tool for Job Analysis
0
3
Google BigQuery(1)
Erin Riggers's avatar
Erin Riggers
proHouston, USA
Data-Driven Solutions with Developer Precision
$10k+
Earned
4x
Hired
5.0
Rating
81
Followers
Data-Driven Solutions with Developer Precision
Cover image for Marketing Stack Audit and Optimization for Stacklist
$5.4K+ earned
Marketing Stack Audit and Optimization for Stacklist
3
159
Cover image for I posted another couple of
I posted another couple of new Looker Studio dashboards in my Contra shop today and thought I would share some related eye candy with ya'll. This is a bundle of four funnel and timeline data visualizations / infographics that I created specifically for Google Analytics e-commerce events. I was inspired to create this after having stumbled upon a slough of similar GA4 ecommerce-related dashboards that were woefully visually unappealing. Creating more beauty in the world around me is one of my prime movers. https://contra.com/products/mYxjErTV-ga4-ecommerce-funnel-visualization-pack
2
414
Cover image for OneTrust Consent Management Consulting
OneTrust Consent Management Consulting
4
45
Cover image for Google Analytics Looker Studio Dashboards
Google Analytics Looker Studio Dashboards
2
112
Google BigQuery(1)
Taziem Uddin's avatar
Taziem Uddin
proLahore, Pakistan
I install done-for-you analytics in high-ticket businesses.
$10k+
Earned
3x
Hired
4
Followers
I install done-for-you analytics in high-ticket businesses.
Cover image for No More Mondays: Built From Scratch, One Warehouse
No More Mondays: Built From Scratch, One Warehouse
1
42
Cover image for No More Mondays: $1M+ Traced, Deal by Deal
No More Mondays: $1M+ Traced, Deal by Deal
1
7
Cover image for No More Mondays: Ask Your Data, Get Answers in Seconds
No More Mondays: Ask Your Data, Get Answers in Seconds
2
47
Cover image for No More Mondays: The Same Close Rate, Told Two Ways
No More Mondays: The Same Close Rate, Told Two Ways
1
50
Google BigQuery(2)
Prem Patel's avatar
Prem Patel
proIndia
Make.com Level 5 & Zapier Expert: AI and Ops Automation
10
Followers
Make.com Level 5 & Zapier Expert: AI and Ops Automation
Cover image for Does someone on your team
Does someone on your team lose a day or two building the sales report every week or month? That was the starting point at Mokobara, the premium travel brand. Pulling sales across all their stores, checking returns, reconciling the numbers and emailing each manager took 1 to 2 days every cycle, with 8+ hours of that spent just reconciling. I built them an automation on Make.com (http://Make.com) a few months ago. It has run on its own ever since, weekly and monthly: Make pulls every sales record from BigQuery, 100K to 250K per cycle. That is too many for one request, so it reads them page by page and stitches them back together. It calculates the numbers the team actually uses: net sales per store after returns and discounts, return rates and the change against the last period. It builds a CSV with the full breakdown and a short email summary you can read in 60 seconds. It reads a Google Sheet of store representatives and emails every one of them the report for their own store. The result: the reporting problem is gone. The report went from 1 to 2 days of manual work to fully automatic, and the 8+ hours of reconciliation dropped to zero. Two things I would do the same way again: Calculate "net sales" in the automation, not in the warehouse. The business rule for what counts as a net sale is not what the raw data stores. Send people their slice, not the whole report. One report for everyone gets skimmed by everyone. The figures in the image are placeholders, the real ones stay with the client. What report is your team still building by hand? Tell me where the data lives and I will tell you how I would automate it.
4
468
Cover image for How do you automate a
How do you automate a daily sales report from BigQuery to Slack with Make.com, when the data is 250,000 rows and the reader is not an analyst? Six decisions make or break it. A direct-to-consumer brand's daily sales report took one to two days to compile, which meant Monday's numbers arrived on Wednesday. A 7 AM Make.com scenario now pages the data out of BigQuery, computes the KPIs and posts a plain-English summary to Slack and email before anyone opens a laptop. The six decisions: 1. Page, do not pull. A day can be up to 250,000 rows. The scenario pages through BigQuery in chunks and aggregates as it goes, so no single step holds the whole table. 2. Compute the KPIs in the scenario, not in the prompt. Revenue, orders, average order value, top products and day-on-day change are arithmetic. The model only writes the sentences. 3. Give the model numbers, never the rows. A short structured summary goes to OpenAI with a fixed template; the output is two paragraphs a founder reads in thirty seconds. 4. Check before you post. If a KPI is null, if the row count is far below the trailing average, if a query failed, the scenario alerts the owner instead of posting a confident wrong report. 5. Post where people already look. Slack channel at 7 AM plus an email copy for the people not in Slack. No dashboard to remember to open. 6. Keep a paper trail. Every run logs the query window, row count, KPIs and the text it posted, so a number can be traced back a month later. The diagram shows the run: schedule, paged query, KPI step, summary, checks, Slack and email. The full case study is on my profile. The same scenario shape works with Shopify, Stripe, a CRM or a Sheet as the source. Prem Patel, Nex Automations. Make.com Level 5 certified, official Make partner, Zapier Certified Expert.
1
292
Cover image for BigQuery to Slack daily sales reports on Make.com, D2C brand
BigQuery to Slack daily sales reports on Make.com, D2C brand
1
7
Cover image for Is your Contra discovery score
Is your Contra discovery score stuck? Mine went from top 45% to top 20% in 13 days, and posting more is not what moved it. And i need real Project On Contra😅 I log my score on every tag with a small script that reads all 48 options on the discovery page, so this is what actually changed between 27 August and 9 September 2026, and what did not. What moved it: Case studies. From 0 passing Contra's quality check to 15. Contra's checklist is short: a custom cover, a clear descriptive title, an engaging description, in-depth content and real media. My first two projects failed it, one on the description and one on the media. Services. From 1 passing service to 9, each with its own cover, a descriptive title, a rate and a real summary. Every tag a service carries gets the lift, so tag the tools you actually used. Profile quality, 66% to 100% after the profile rewrite. Replying to the first inquiry quickly. Response time was blank until then. It now reads 2 hours. The result: Overall top 45% to top 20%. Automation Engineer top 25% to top 10%. Make top 35% to top 20%. What did not move it: the four days after. From 9 to 13 September every tag gained exactly 1 point. Nothing new on the profile, nothing moves. And the three biggest levers on my board are still at zero: earnings, reviews and verified projects. All three come from the same move, one paid project routed through Contra, so that is where my next week goes. One thing if you compare yourself with others: Contra's point scale changed between my runs, so compare your rank band (top X%) rather than the raw points. What moved yours? If yours is stuck, reply with your score and the tag, and I will tell you which lever I would pull first.
2
4
212
Google BigQuery(3)
Sam Fairweather's avatar
Sam Fairweather
Sydney NSW 2000, Australia
I build fully automated, zero cost reporting platforms.
10
Followers
I build fully automated, zero cost reporting platforms.
Cover image for Shopify Performance Dashboard Development
Shopify Performance Dashboard Development
8
318
Cover image for Custom Automated Reporting Platform for HPA Group
Custom Automated Reporting Platform for HPA Group
0
10
Cover image for Custom Automated Reporting Platform for Metropolis
Custom Automated Reporting Platform for Metropolis
0
17
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Google BigQuery(3)