DoggZam

DoggZam addresses a clear use case (dog breed identification via ML), but the submission is plagued by spelling errors ('apart of', 'breads') and heavily exaggerated, unverifiable claims ('most people have used my product'). Despite a large reported team of 30 and being active since 2018, achieving only 40K users indicates minimal long-term traction. The lack of detailed technical specifications, confusing financial metrics ('all time marketcap: 500000'), and unrealistic statements result in heavily penalized quality multipliers, placing the project in the minimal traction tier.