Ceptize

On 08 Sep 2026, I collect 712 products which are launched on Product Hunt on 07 Sep 2026. I rejected 693 products, remaining 19 products. I extract 46 potential features, rejected 36 features, remaining 10 features which become software opportunities passing uniqueness test. Finally, I pick out 5 software opportunity which have
Commercial Strength SCORE greater than 9.0/10.

|Cat|   Rank | Feature                                              | Uniqueness |        WTP | Commercial Strength |
|27 |  1 | ------------- -- ---------                     | 9.5/10 | 9.5/10 | 9.5/10          |
|22 |  2 | ---------- -------- -------- ------------       | 9.2/10 | 9.5/10 | 9.4/10          |
|22 |  3 | Closed-Loop Autonomous Warehouse Recovery      | 9.0/10 | 9.5/10 | 9.3/10          |
|22 |  4 | Closed-Loop Adaptive Warehouse Intervention     | 9.0/10 | 9.3/10 | 9.2/10          |
|22 |  5 | Predictive Warehouse Decision Center            | 8.5/10 | 9.5/10 | 9.1/10          |

=====| Notes |=====

(5) 27. AI Infrastructure (9.5/10)
(10) 22. Logistics & Operations (8.9/10)

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Best regards
Dinh Thoai Tran

As software developer with 15 years working experience, developing good quality softwares is never my problem. The real problem of mine is that I don't know how to sell my softwares and currently, I can not do that.

That's the reason I built Ceptize with specialized on softwares (or SaaS, PaaS, etc.). I hope that I can help Indie Hackers/Founders finding profitable software opportunities for which they can build & sell their softwares.

Currently, Ceptize is a MVP whom processes mostly are done manually. I am horning my processes and finding first 7 "Pro" members. After having enough customers, I will build automation for my processes and increase Ceptize's customer serving capacity.

Everyday, Ceptize collects software opportunities by:

• Pick out products from top daily launched products on Product Hunt

• Extract features which users are willing to pay for

• Pick out top features which have largest willingness to pay

• Turn features into software opportunities

Following is example of above sorting process:

| Rank | Feature | WTP | Main buyer | | -------: | ---------------------------------------- | -----------: | ------------------------------- | | 🥇 **1** | Conversation → CRM Intelligence | ⭐⭐⭐⭐⭐+ | Sales teams / RevOps | | 🥈 **2** | Private Team Knowledge Base | ⭐⭐⭐⭐⭐+ | Companies | | 🥉 **3** | Consultant / Agency Client Memory | ⭐⭐⭐⭐⭐ | Consultants / agencies | | 4 | Automatic Meeting Intelligence | ⭐⭐⭐⭐⭐ | Sales / support / management | | 5 | Cross-Source AI Research | ⭐⭐⭐⭐⭐ | Researchers / analysts / teams | | 6 | Search Across All Past Meetings | ⭐⭐⭐⭐½ | Professionals / teams | | 7 | Private AI Knowledge Base | ⭐⭐⭐⭐½ | Professionals | | 8 | Encrypted Cloud Backup + Synchronization | ⭐⭐⭐⭐ | Privacy-conscious users / teams |

Currently, Ceptize only do manually sorting features from top 5 products. After horning our process, number of products being extracted features is increased. You can think about what if Ceptize can sort features from 500 daily launched products or 3,500 weekly launched products, or 105,000 monthly launched products. You will receive the best software opportunities which their main features having users' largest willingness to pay.

After features are discovered, they are processed with following overview:

Opportunity discovered ↓ Uniqueness test ↓ Pain test ↓ Frequency test ↓ Existing spending test ↓ WTP test ↓ Competition test ↓ Evidence test ↓ Profitability test ↓ PASS / REJECT

Following is a sample of Rejection Test report:

UNIQUENESS TEST ──────────────────────────── Opportunity: Autonomous Regression Testing Core promise: Automatically determine whether a code change broke previously working functionality. RESULT: FAIL — FEATURE NOT UNIQUE Closest equivalents: TestSprite mabl Testsigma Tusk Qate AI Additional overlapping products: Signadot Smart Tests Katalon TrueTest Validata Neji Perforce Autonomous Testing Aurora Confidence: VERY HIGH

Picked out features are then processed to generate software opportunities. Each opportunity has following information:

+ Specification for product with unique brand name having feature as main one + Answer for "Are there any products implementing this feature?" + The specific customer segment + The painful workflow/problem + The feature customers pay for + Existing products charging money for similar functionality + Pricing customers already accept + Customer complaints or requests indicating unmet demand + Why existing solutions are insufficient + Estimated price customers could tolerate + Evidence that the problem occurs frequently + WHO pays? + WHY do they pay? + WHAT exactly do they pay for? + HOW MUCH do they pay? + HOW OFTEN does the problem occur? + WHAT are they dissatisfied with? + WHY isn't the existing solution good enough? + Rejection Testing Reports

Software opportunites are also categorized into 27 categories and the categorization information is used to deliver software opportunities to "Pro" members.

Ceptize has only 1 user-level feature (reading software opportunity) but has many system-level features. If you are interested in Ceptize, you can try its user-level feature with "Regressa -:- Autonomous Regression Testing for Every Pull Request". If you are satisfied with Ceptize's feature, think about subscribing "Pro" membership with $499 / year.