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ComparEdge/saas-product-matcher

sourceHugging Faceapache-2.0updated 5mo agoView on Hugging Face
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ComparEdge SaaS Product Matcher

Semantic search model for SaaS product recommendation. Fine-tuned on 331 product descriptions from ComparEdge — a live SaaS comparison platform covering dozens of categories.

Given a natural-language query, this model returns the most relevant SaaS tools from the ComparEdge database.

Quick Start

python
from sentence_transformers import SentenceTransformer
from sentence_transformers.util import cos_sim
from huggingface_hub import hf_hub_download
import numpy as np, json, torch

model = SentenceTransformer("ComparEdge/saas-product-matcher")

# Load pre-computed embeddings (hundreds of products, no re-encoding needed)
emb_path = hf_hub_download("ComparEdge/saas-product-matcher", "product_embeddings.npy")
idx_path  = hf_hub_download("ComparEdge/saas-product-matcher", "products_index.json")

embeddings = np.load(emb_path)
with open(idx_path) as f:
    products = json.load(f)

query  = "I need a CRM for a small startup"
q_emb  = model.encode(query, normalize_embeddings=True)
scores = cos_sim(torch.tensor(q_emb), torch.tensor(embeddings))[0]
top_idx = scores.argsort(descending=True)[:5]

for idx in top_idx:
    p = products[idx]
    print(f"{p['name']} ({p['category']}): {scores[idx]:.3f}")
    print(f"  → https://comparedge.com/tools/{p['slug']}")

Repository Files

FileDescription
product_embeddings.npyPre-computed normalized embeddings for all hundreds of products (shape: 331×384)
products_index.jsonMetadata index: slug, name, category, description
example_search.pyStandalone CLI search script

Training

Base model: sentence-transformers/all-MiniLM-L6-v2 (384-dim, 22M params)

Loss: MultipleNegativesRankingLoss — treats every other item in the batch as a hard negative, which works well for retrieval tasks without manual negative mining.

Training data: ~4,000 (query, product) pairs generated from 331 SaaS products across dozens of categories:

  • Natural-language queries from 16 templates per product ("best X tool", "cheap X software", etc.)
  • Product descriptions, long-form reviews, and feature lists
  • Use-case titles extracted from each product
  • Pricing signals (free-plan queries, under-$N queries)

Coverage: 28 SaaS categories from comparedge.com:

CategoryExample products
project-managementNotion, Asana, Linear, ClickUp
crmHubSpot, Pipedrive, Salesforce
email-marketingMailchimp, ActiveCampaign, Brevo
video-conferencingZoom, Google Meet, Whereby
ai-writingJasper, Copy.ai, Writesonic
design-toolsFigma, Canva, Adobe XD
password-managers1Password, Bitwarden, Dashlane
vpnNordVPN, ExpressVPN, Surfshark
… 20 more

Performance

Evaluated on held-out queries not seen during training:

MetricScore
Top-1 accuracy~78%
Top-5 accuracy~94%
Mean Reciprocal Rank0.85

Links

  • 🌐 ComparEdge — Live SaaS comparison and product discovery platform
  • 📊 Dataset — Raw product data on HuggingFace
  • 🔗 API — REST API for programmatic access