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Weekly Startup News: Everything From Funding Updates To IPO Buzz And Big-Deal Moves

by Ishaan Negi
November 15, 2025
in Business, Markets, News, Tech, Trending, World
Reading Time: 5 mins read
0
Indian Startup Funding News: Indian startups that collectively raised $316 Mn this week

Credits: Bizz Buzz

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Funding Landscape: A Slight Dip Amid IPO Heat

While India’s public markets lit up with multiple high-profile IPOs, private startup funding hit a mild speed bump this week. Between November 10 and 14, 22 startups raised $162.9 Mn, marking a 32% drop from the previous week’s $237.8 Mn.

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The ecosystem, however, remained active, with fintech leading the charts and seed-stage activity showing renewed strength.

Indian startups raise $240.85 million this week, Bengaluru leads in funding  deals

Credits: dtnext

Fintech Leads The Charge With Finnable’s Mega Round

The crown jewel of the week was Finnable, a lending-tech player that bagged a massive $56.5 Mn (INR 500 Cr). This single deal not only made Finnable the biggest fundraiser but also pushed fintech to the top of the sectoral leaderboard.

Other notable fintech activity included GreenFi, which raised $2 Mn in a seed round to build SaaS-led financial tools.

With lending, embedded finance, and consumer credit continuing to surge in demand, fintech held onto its position as the most well-capitalised sector of the week.

AI, Edtech & Enterprise Tech Keep The Momentum Going

AI continued its hot streak with Attentive AI raising $30.5 Mn in its Series B, backed by Insight Partners and Vertex Ventures. With enterprise automation rising across industries, AI application-layer startups remain investor favourites.

Edtech also had a moment of resurgence. Tetr College secured $18 Mn, while Codeyoung raised $5 Mn in its Series A, signalling that curated, outcome-based learning platforms still hold promise despite broader industry challenges.

Enterprise tech wasn’t far behind — Brandworks Technologies pulled in $11 Mn in a two-tranche Series A, while SaaS platform Nia.one raised $2.4 Mn at seed stage.

Ecommerce Dominates Deal Volume With Five Rounds

With five funding deals, ecommerce recorded the highest number of transactions this week, totalling $24.2 Mn.

From Bombay Shaving Company’s $16.3 Mn round to home lifestyle brand Haus & Kinder’s $3.4 Mn infusion, the sector showed both D2C strength and marketplace resilience. Early-stage ecommerce enablers like FES Café, &Done, and DOCO also secured pre-seed and pre-Series A funding.

Seed-Stage Startups Shine With 10 Deals

Despite the dip in total capital, early-stage momentum improved.
Ten seed-stage startups collectively raised $12.4 Mn, edging ahead of last week’s $11.9 Mn.

Some highlights include:

  • Praan Health securing $958K backed by Rainmatter and PhysicsWallah’s founders.

  • shoppin’ raising $3 Mn at seed from Mixi Global Investments.

  • Nyayanidhi, an AI-driven legal-tech player, raising $2 Mn from 3one4 Capital.

Meanwhile, GVFL emerged as the most active investor, participating in three deals — Brandworks, HRS Navigation, and DOCO.

IPO Frenzy: A Blockbuster Week On Dalal Street

The week was dominated by major IPO activity:

  • Groww made a spectacular debut with 30% gains over its listing price.

  • Lenskart ended the week 2% higher.

  • Pine Labs listed at a 10% premium.

Other IPO developments included:

  • PhysicsWallah closing its IPO with 1.81X oversubscription.

  • Capillary Technologies getting 28% subscription on the first day.

  • InCred Holdings, Meritto, and SEDEMAC filing or pre-filing their DRHPs confidentially.

India’s IPO pipeline continues to thicken, signalling strong investor appetite for tech and consumer-facing businesses.

Dalal Street Week Ahead: Rising VIX signals hedging; traders advised  tactical approach - The Economic Times

Credits: The Economic Times

M&A Corner: Strategic Consolidations Pick Up Pace

This week also saw several noteworthy strategic moves:

  • VideoDB acquired Devzery, strengthening its software testing capabilities.

  • Blackstone and SoftBank reportedly began talks to acquire stakes in AI cloud infra startup Neysa.

  • CarTrade initiated discussions to acquire CarDekho’s automotive classifieds businesses.

  • The CCI approved the merger of four Girnar Group and RenewBuy entities under Artivatic Data Labs.

These moves reflect a consolidation trend across automotive, AI cloud, and software infra segments.

Other Ecosystem Updates

  • Hyderabad Angels Network (HAN) launched a Category I AIF, targeting INR 100 Cr to back early-stage innovation.

  • Ecozen, the deeptech pioneer in agri and energy solutions, is in talks to raise INR 111.6 Cr ($12.6 Mn) in debt from UTI International and Spark Capital.

Conclusion: A Week Of Mixed Signals, Strong Potential

Despite a slowdown in cheque sizes, the week delivered powerful signals — India’s startup IPO flywheel is spinning faster than ever, seed-stage deal flow is improving, and big institutional investors are circling deeptech and AI.

With IPOs booming and investor confidence steady, the ecosystem continues to show resilience and reinvention as we move deeper into Q4.

Tags: #startupsacquisitionBusinessfundingIPOMerger
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Ishaan Negi

Ishaan is a student at Sri Venkateswara College, University of Delhi, where he combines his academic pursuits with a deep passion for technology and storytelling. Ever since his school days, Ishaan has been an avid reader, a thoughtful writer, and an articulate speaker. These interests have naturally evolved into a strong inclination towards journalism, especially in the fast-paced world of tech. Known for his balanced approach, Ishaan is committed to presenting unbiased viewpoints and ensuring every story he tells is rooted in facts and multiple perspectives. Whether he’s reporting on emerging startups, corporate developments, or ethical issues in the tech space, he brings a sharp analytical lens and a curiosity-driven mindset to his work. With a strong foundation in research and communication, Ishaan strives to make complex topics accessible to readers while maintaining depth and nuance. His goal is not just to inform but also to spark thoughtful conversations around the ever-evolving tech landscape.

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How Businesses Use Mobile Proxy Servers for Localized Data Collection

by Rohan Mathawan
October 9, 2026
0
Engineering teams building market intelligence pipelines frequently deal with rate limits and manipulated pricing data. Target platforms actively manage incoming traffic using security tools like Web Application Firewalls and TLS fingerprinting. Relying on commercial server nodes for data extraction often leads to interrupted sessions. To solve this, businesses are moving their infrastructure toward authentic cellular networks. Using mobile proxy servers allows them to collect accurate, localized web data reliably. TL;DR: Core benefits of mobile proxy servers for data extraction Carrier-grade trust: Mobile networks use CGNAT, masking your automated traffic alongside thousands of real smartphone users, resulting in maximum IP trust scores. Organic IP shifts: Security systems are adapted to mobile networks where IP addresses routinely change across local cell towers. A dynamic IP is completely natural, provided your geographic region and device footprint remain consistent. Dedicated vs. shared hardware: Dedicated modems allow manual IP rotation via API but require a 5 to 10-second pause while the physical hardware reboots. Shared proxies offer fixed-interval rotation without interrupting active users. Maintaining stable access: Premium infrastructures use the VLESS protocol to route proxy connections as standard HTTPS browsing. This helps maintain connections in environments with strict local ISP filtering. Why localized data extraction requires authentic connections Companies extract localized web data to see information exactly as it appears to a regular user in a specific region. Pricing and availability change based on the viewer's location. A consumer searching a travel aggregator from London sees different flight options than a user querying the exact same route from Tokyo. Teams historically built scraping infrastructure on data center IPs. Today, anti-fraud engines maintain strict databases of commercial cloud subnets. When a firewall detects consumer-level requests coming from a corporate server, it ruins the connection's trust score. Real users do not browse from cloud data centers. The target platform simply responds with CAPTCHAs or HTTP 429 errors. How mobile proxy servers maintain stable access To ensure stable data collection, automated traffic needs to match the normal network patterns of genuine human users. Mobile proxy servers accomplish this by routing requests through real 4G LTE or 5G modems equipped with authentic SIM cards. This works through Carrier-Grade NAT (CGNAT). Mobile carriers do not assign a unique public IP to every smartphone. Instead, they push the data streams of thousands of subscribers onto the internet through a single shared IP address. Banning a CGNAT mobile IP means disconnecting hundreds of real retail consumers in that area. To avoid this collateral damage, security engines treat mobile carrier ASNs with extreme leniency, granting them trust scores between 90% and 99%. Infrastructure Type Network Source CGNAT Shielding Average Trust Score Algorithmic WAF Reaction Data Center Commercial Cloud Providers No (1:1 routing) 20% - 40% Immediate block, CAPTCHA, or rate-limit for consumer endpoints. Static Residential Home Internet Providers Rare (Usually 1:1) 70% - 85% Reliable for steady sessions, but flagged during abrupt traffic spikes. Mobile (LTE/5G) Real Cellular Carrier Networks Yes (Thousands to 1) 90% - 99% High tolerance; blocking is mathematically prohibitive due to collateral damage. IP rotation: Why dynamic addresses are natural for mobile proxy servers Many operators believe that keeping a static, unchanging IP address is the only way to maintain a healthy session. They assume an IP rotation during a collection task immediately triggers security algorithms. In reality, the internet is heavily adapted to a mobile-first world. When genuine consumers browse on their smartphones, they commute across a city and experience brief signal drops. These physical events force their hardware to re-authenticate with the network. The mobile carrier then assigns the device a brand-new IP address from the regional pool. Target platforms inherently expect this behavior. Consequently, an IP address changing within the bounds of a specific city or county is not an automatic red flag. What actually triggers anti-fraud systems is inconsistency in the digital footprint. As long as the regional origin and the device identity remain synchronized, the session remains valid. Modern automation relies entirely on consistent device and location profiles rather than rigid IP addresses. Choosing the right mobile proxies: Dedicated vs. Shared hardware When integrating cellular infrastructure into a pipeline, engineering teams must decide between two distinct types of mobile proxies. This choice directly impacts hardware control and session persistence. Dedicated proxies Dedicated mobile proxies provide an operator with exclusive, single-tenant access to a specific physical modem and SIM card. This grants unrestricted bandwidth and absolute programmatic control over the connection. Operators can trigger an IP change precisely when their workflow demands it via an API call integrated directly into their Python or Node.js scripts. Developers need to handle the rotation delay. When the API command executes, the physical modem drops its connection to the local cell tower and renegotiates a new one. This reset takes 5 to 10 seconds. Scripts require deliberate pauses (e.g., time.sleep(10)) during this window. Sending payloads before the modem re-authenticates causes timeout errors. Shared proxies Shared mobile proxies allow multiple independent users to route their traffic through the same physical 5G/LTE modem simultaneously. Because the connection is multiplexed, the IP address on a shared port rotates at a strict, automated interval typically every 5 or 30 minutes. Manual rotation is disabled because resetting the network would drop the connection for everyone sharing the hardware. Shared ports provide cost-effective CGNAT trust for stateless tasks. Shared networks provide excellent, cost-effective CGNAT trust for stateless tasks where session persistence is irrelevant. Handling deep packet inspection with VLESS While mobile proxy servers manage external routing, businesses sometimes face interference from their own local Internet Service Provider (ISP). Some local ISPs use Deep Packet Inspection (DPI) to monitor outbound traffic. Standard proxy protocols have recognizable cryptographic handshakes that DPI systems often restrict. To resolve this, premium mobile infrastructure supports the VLESS protocol. Rather than generating a custom proxy certificate, VLESS borrows the cryptographic signature of a highly trusted, unrelated domain during the TLS handshake. Local DPI tools analyze this outbound data flow and see standard HTTPS web browsing. This allows data teams to work without local network interruptions. Digital identity and environment setup High-trust IP addresses lose their value if a script logs into an account using a flagged VoIP phone number. The same happens if a localized payment uses a card that mismatches the proxy's geographic location. Operators pair dedicated mobile IP connections with clean browser profiles. They use tokenized payment cards matching the proxy's billing region and real residential phone numbers for SMS verifications. Sourcing these components from different providers slows down infrastructure deployment. Platforms like CyberYozh App consolidate these tools. Teams deploy dedicated mobile IPs, issue virtual cards, and rent local ISP numbers from a single ecosystem. Checking the complete setup through a built-in fraud scorer ensures a highly trusted profile before data extraction begins. Real-world application A market intelligence firm monitored retail pricing across European e-commerce platforms using data center proxies. Within days, the target platform recognized the commercial subnets, applied rate limits, and served manipulated HTML. The firm restructured its pipeline. They replaced their data center nodes with CyberYozh dedicated mobile proxies physically located in the target countries. Because the requests originated from genuine 4G/5G mobile gateways shielded by CGNAT, the firewall perceived the traffic as authentic mobile shoppers. The Python script held a single mobile IP for a persistent session, extracting the localized pricing data. Once a geographic sweep was complete, the script fired an API rotation call, paused operations for 10 seconds while the physical modem reset its radio link to the local cell tower, and seamlessly resumed collection on the next batch of URLs. By aligning their geographic footprint and accounting for the physical realities of hardware rotation, the firm restored stable access to their target data. Final thoughts on mobile proxy infrastructure Basic data collection methods struggle against modern traffic analysis. Because international platforms look closely at connection behavior to protect their localized data, relying on commercial server networks often leads to unstable access. Authentic LTE and 5G cellular hardware solves this problem. Carrier-Grade NAT and API rotation align the traffic with natural network behavior. This approach secures high IP quality and enables reliable data extraction at scale. As businesses rely more on location-specific data, the technology behind reliable web access is becoming an important part of modern data collection. For more practical guides on emerging technology, online infrastructure, and digital tools, explore Kemotech.

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