We detected 566 customers using Optless and 3 customers with estimated renewals in the next 3 months. The most common industry is Retail (48%) and the most common company size is 2-10 employees (53%). Our methodology involves detecting JavaScript snippets or configurations on customer websites.
Note: We're unable to detect companies that use Optless primarily in mobile apps, or where authentication happens primarily in mobile rather than the web. We are also unable to detect churned customers for this vendor, only new customers
About Optless
Optless provides a one-tap authentication solution that eliminates traditional passwords and OTPs by enabling users to sign in through WhatsApp, Google, Apple, SMS, and email. The platform helps businesses increase login conversions and reduce fraud while offering fast integration through native SDKs for various frameworks.
🔧 What other technologies do Optless customers also use?
Source: Analysis of tech stacks from 566 companies that use Optless
Commonly Paired Technologies
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Shows how much more likely Optless customers are to use each tool compared to the general population. For example, 287x means customers are 287 times more likely to use that tool.
I noticed that companies using Optless are primarily Indian e-commerce and D2C brands focused on customer engagement through messaging channels, particularly WhatsApp. The combination of tools like GoKiwk, Interakt, and QuickReply.ai tells me these businesses are building conversational commerce operations where customer interactions happen directly through chat platforms rather than traditional websites or apps.
The pairing of Optless with GoKiwk is especially revealing since GoKiwk handles credit and payment flows for Indian consumers. Combined with QuickReply.ai for automated messaging and Interakt for WhatsApp marketing, these companies are creating end-to-end purchase journeys within messaging apps. Bureau, a fraud prevention tool, suggests they're dealing with enough transaction volume to warrant dedicated risk management. Nector.io, a loyalty platform, indicates they're focused on repeat purchases and customer retention, not just acquisition.
The full stack reveals these are sales and marketing-led operations at early to mid-growth stage. They're investing heavily in customer communication infrastructure before scaling traditional channels. The emphasis on automation tools like QuickReply.ai alongside manual engagement platforms suggests they're at that inflection point where manual processes are breaking down but they still need human oversight. The loyalty and fraud prevention tools indicate they've found product-market fit and are now optimizing unit economics and lifetime value.
👥 What types of companies is most likely to use Optless?
Source: Analysis of Linkedin bios of 566 companies that use Optless
Company Characteristics
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Shows how much more likely Optless customers are to have each trait compared to all companies. For example, 2.0x means customers are twice as likely to have that characteristic.
Trait
Likelihood
Industry: Retail Health and Personal Care Products
66.7x
Industry: Personal Care Product Manufacturing
59.4x
Industry: Retail Apparel and Fashion
34.4x
Country: IN
30.1x
Funding Stage: Seed
18.5x
Company Size: 201-500
2.4x
I noticed that Optless customers are predominantly consumer brands selling physical products directly to Indian consumers. These companies manufacture and sell everything from ethnic wear and cosmetics to ayurvedic supplements, home furnishings, and personal care products. The vast majority operate in fashion, beauty, wellness, and lifestyle categories, with a strong emphasis on direct-to-consumer sales through online channels and marketplaces like Amazon and Flipkart.
These companies span the growth spectrum, but most are in the scaling phase. Employee counts typically range from 11 to 200, with some outliers on either end. Funding stages, when disclosed, are predominantly seed or Series A, though many appear bootstrapped. The presence of phrases like "fastest-growing" and "rapidly expanding" alongside modest team sizes suggests companies in early growth mode, not yet at enterprise scale but beyond pure startup validation.
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