⚙️ Settings

Database Configuration

✅ Supabase URL: https://hcvcwvuznpggwhabvdba.supabase.co...

✅ Supabase Key: Not configured

📁 Active Projects

Toggle which projects' seeds will be used in daily pipeline runs. Daily discovery runs once per active project.

🟢 10th of July Test 1

Seeds

🟢 10th of July Test 2

Seeds

🟢 10th of July Test 3

Seeds

🟢 12th of June Project A

Seeds

🟢 12th of June Project B

Seeds

🟢 12th of June Project C

Seeds

🟢 13052026 Latest

Seeds

🟢 13th APRIL TEST VICKRAN

Seeds

🟢 13th of July Test A

Seeds

🟢 13th of July Test B

Seeds

🟢 13th of June Project A

Seeds

🟢 13th of June Project B

Seeds

🟢 13th of May

Seeds

🟢 14th of July Test A

Seeds

🟢 14th of June Project A

Seeds

🟢 14th of June Project B

Seeds

🟢 14th of June Project C

Seeds

🟢 14th of June Project D

Seeds

🟢 15th of June Project A

Seeds

🟢 15th of June Project B

Seeds

🟢 16th of June Project A

Seeds

🟢 16th of June Project B

Seeds

🟢 18th JUNE TEST

Seeds

🟢 18TH OF MAY RUNS

Seeds

🟢 19/06 Uday's

Seeds

🟢 19th of May

Seeds

🟢 19th of May test 2

Seeds

🟢 1st June Test

Seeds

🟢 20th of May

Seeds

🟢 21st Afternoon

Seeds

🟢 21st of May Night Batch

Seeds

🟢 22ND JUNE TEST

Seeds

🟢 22nd of May

Seeds

🟢 22nd of May Afternoon

Seeds

🟢 22nd of May pm

Seeds

🟢 25/06 Morning Run

Seeds

🟢 26/5 project

Seeds

🟢 29/06 Leads

Seeds

🟢 2nd feedback run

Seeds

🟢 6th of July Test

Seeds

🟢 7th of July Test

Seeds

🟢 8th of July Test

Seeds

🟢 8th of July Test 2

Seeds

🟢 8th of July Test 3

Seeds

🟢 8th of July Test 4

Seeds

🟢 8th of July Test 5

Seeds

🟢 9th of July Test 1

Seeds

🟢 9th of July Test 2

Seeds

🟢 9th of July Test 3

Seeds

🟢 another test 001

Seeds

🟢 Apollo Test 1/7

Seeds

🟢 Apollo Test 2/7

Seeds

🟢 AWS Secret Test

Seeds

🟢 AWS Secret Test 3

Seeds

🟢 AWS Secrets Test 2

Seeds

🟢 Based on 25/5 Feedback

Seeds

🟢 Final Client Test 2

Seeds

🟢 Final Client Tests 1

Seeds

🟢 Final Client Tests 3

Seeds

🟢 Final Final Pre-Away

Seeds

🟢 Final Projects

Seeds

🟢 final tests Salim

Seeds

🟢 Firecrawl Test

Seeds

🟢 fourth of June, 2026

Seeds

🟢 Full CSV 1

Seeds

🟢 Kitchen Gadget

Seeds

🟢 New Products

Seeds

🟢 OpenAI Test

Seeds

🟢 Salim 2nd of June Test 1

Seeds

🟢 salim's log-based tests

Seeds

🟢 Salim's Loom Test 24/06

Seeds

🟢 Salim's Test

Seeds

1 (ready for run)

🟢 Salim's Test 1/6

Seeds

🟢 test 12052026

Seeds

🟢 Test 15-05-2026

Seeds

🟢 test 20260510

Seeds

🟢 test 21st June

Seeds

🟢 Test 24-25/6 Overnight

Seeds

🟢 TEST 27TH APRIL

Seeds

🟢 Test 3 15-05-2026

Seeds

🟢 TEST TEST VICKRAN

Seeds

🟢 test_encyclo

Seeds

🟢 Test-2 15-05-2026

Seeds

🟢 third of June, 26

Seeds

🟢 tmppp

Seeds

🟢 VICKRAN 21ST JUNE TEST

Seeds

🟢 White Screen fix

Seeds

📝 Feedback Summary

This AI-generated summary of your feedback is used by the lead scoring agent to learn your preferences.

Latest Summary (editable)

**Client Brand Sourcing Preferences Summary**

**1. Brands Clients REJECT and Why:**
Clients reject brands perceived as too large or established, such as LEGO, Warner Bros, and Crayola, due to their dominant market presence and existing vendor agreements, limiting profitable wholesale partnerships. Brands with low sales volume or high sales ranks, like Freetress and InSinkErator, are dismissed for lack of demand. Complicated distribution models, as seen with Snuggle and Tapo, also contribute to rejections. Additionally, exclusivity agreements, exemplified by KONG, are a significant deterrent.

**2. Brands Clients ACCEPT and Why:**
Clients favor mid-sized brands that exhibit quality and accessibility, such as Zellies and Apagard, demonstrating strong sales volume and competitive pricing. Brands emphasizing sustainability and niche markets, like Inspire and NRS Healthcare, receive positive feedback. Clients prefer brands with stable pricing and good third-party competition, indicating potential for growth.

**3. Emerging Patterns, Preferences, or Rules:**
Clients increasingly prefer brands that are not overly dominant in the market and present clear opportunities for wholesale collaboration. There is a growing trend towards accepting niche brands with sustainable practices. The rejection of toy-related brands signals a shift away from that category. Clients also show a preference for brands with multiple SKUs, which can provide additional opportunities.

**4. Specific Examples:**
Rejections of brands like Spinbrush and Dymo underscore critical thresholds for brand size and distribution complexity. The recent rejection of KONG due to exclusivity further emphasizes this point. Conversely, brands such as McCafe and Bondiboost illustrate successful acceptance due to their niche presence and solid metrics. Clients should prioritize brands that align with these parameters to optimize sourcing success.

Edit this summary to guide the AI agent. Changes are saved as a new version.

Last updated: 2026-07-16 17:37:34

📚 Summary History

⚙️ System Thresholds

These settings control the lead discovery pipeline filters in real-time.

min_monthly_sales

Minimum estimated monthly sales

min_sales_rank_drops_90

Fallback threshold: minimum sales rank drops in 90 days when monthlySold is missing

max_sales_rank

Maximum sales rank (BSR) allowed (0 disables BSR filter)

target_leads_count

Target number of high-quality leads to discover per pipeline run (uses round-robin sampling across sellers for diversity)

skip_sales_filter_if_no_data

Skip sales filter entirely if both monthlySold and salesRankDrops90 are missing

fallback_asin_count

Number of top accepted brands to recycle as seeds when running out of unused seeds

min_price

Minimum product price in GBP

include_amazon_seller

Allow products where Amazon is one of the sellers

min_lead_score

Minimum overall score to consider a lead high quality

rejection_cooldown_days

Days to wait before reprocessing a rejected brand

products_per_seller_per_round

Number of products to sample from each seller per round

price_stability_threshold

Maximum price variance allowed (0.30 = 30%)

max_price

Maximum product price in GBP (0 disables max price filter)

keepa_category_id

Keepa category filter ID (0 disables category filter)

min_seller_review_count

Minimum seller review count before storefront is crawled (0 disables lower bound)

amazon_marketplace

Amazon marketplace domain (e.g., GB, US)

max_seller_review_count

Maximum seller review count before storefront is crawled

min_fba_sellers

Minimum FBA sellers required on a listing to pass Keepa filter

batch_size

Number of ASINs to process in a single batch

score_weight_contact

Overall score weight for contact completeness (percent)

score_weight_metrics

Overall score weight for amazon metrics (percent)

score_weight_market

Overall score weight for market relevance (percent)

min_offers

Minimum number of active offers required

max_offers

Maximum number of active offers allowed

🏪 Seller Rating Filter

Pre-filter sellers by their Amazon review count before crawling their storefronts. Sellers below the minimum are too new/unestablished; those above the maximum are large aggregators unlikely to offer wholesale accounts.

Database Statistics

Total Brands

1756

Brands (Sample)

1756

Data Synced

Live

Status Breakdown

About

Srangoods

This application provides a user-friendly interface to:

📊 View all discovered leads and brands
🔍 Search and filter leads by various criteria
✏️ Edit brand, contact, metrics, and scoring information in real-time
📥 Export data to CSV
➕ Create new leads/brands

All changes are immediately saved to the database.